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Citations to this Journal [1,272 citations: 1–100 of 1,228 articles]

Articles published in Advances in Bioinformatics have been cited 1,272 times. The following is a list of the 1,228 articles that have cited the articles published in Advances in Bioinformatics.

  • Hasan Baig, and Jan Madsen, “A Simulation Approach for Timing Analysis of Genetic Logic Circuits,” ACS Synthetic Biology, 2017. View at Publisher · View at Google Scholar
  • A. V. Sulimov, D. C. Kutov, E. V. Katkova, and V. B. Sulimov, “Combined Docking with Classical Force Field and Quantum Chemical Semiempirical Method PM7,” Advances in Bioinformatics, vol. 2017, pp. 1–6, 2017. View at Publisher · View at Google Scholar
  • Ting Zhang, Dengfeng Tan, Li Zhang, Xiaoyan Zhang, and Zhaoxue Han, “Phylogenetic analysis and drought-responsive expression profiles of the WRKY transcription factor family in maize,” Agri Gene, 2017. View at Publisher · View at Google Scholar
  • Thomas Wiegand, Denis Lacabanne, Katharina Keller, Riccardo Cadalbert, Lauriane Lecoq, Maxim Yulikov, Laurent Terradot, Gunnar Jeschke, Beat H. Meier, and Anja Böckmann, “ Festkörper-NMR- und EPR-Spektroskopie an Mn 2+ -substituierten ATP-angetriebenen Proteinmaschinen ,” Angewandte Chemie, 2017. View at Publisher · View at Google Scholar
  • Thomas Wiegand, Denis Lacabanne, Katharina Keller, Riccardo Cadalbert, Lauriane Lecoq, Maxim Yulikov, Laurent Terradot, Gunnar Jeschke, Beat H. Meier, and Anja Böckmann, “ Solid-state NMR and EPR Spectroscopy of Mn 2+ -Substituted ATP-Fueled Protein Engines ,” Angewandte Chemie International Edition, 2017. View at Publisher · View at Google Scholar
  • Jowita Samanta Niczyporuk, “Molecular characterisation of fowl adenovirus type 7 isolated from poultry associated with inclusion body hepatitis in Poland,” Archives of Virology, 2017. View at Publisher · View at Google Scholar
  • Hyeonjeong Lee, and Miyoung Shin, “Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data,” BioData Mining, vol. 10, no. 1, 2017. View at Publisher · View at Google Scholar
  • Shirin Taghipour, Peyman Zarrineh, Mohammad Ganjtabesh, and Abbas Nowzari-Dalini, “Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Milos Radovic, Mohamed Ghalwash, Nenad Filipovic, and Zoran Obradovic, “Minimum redundancy maximum relevance feature selection approach for temporal gene expression data,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Ioannis Kavakiotis, Olga Tsave, Athanasios Salifoglou, Nicos Maglaveras, Ioannis Vlahavas, and Ioanna Chouvarda, “Machine Learning and Data Mining Methods in Diabetes Research,” Computational and Structural Biotechnology Journal, 2017. View at Publisher · View at Google Scholar
  • Paul W. Bible, Hong-Wei Sun, Maria I. Morasso, Rasiah Loganantharaj, and Lai Wei, “The effects of shared information on semantic calculations in the Gene Ontology,” Computational and Structural Biotechnology Journal, 2017. View at Publisher · View at Google Scholar
  • Cheng-Hong Yang, Zi-Jie Weng, Li-Yeh Chuang, and Cheng-San Yang, “Identification of SNP-SNP interaction for chronic dialysis patients,” Computers in Biology and Medicine, 2017. View at Publisher · View at Google Scholar
  • Vladislav V. Khrustalev, Tatyana A. Khrustaleva, Nitin Sharma, and Rajanish Giri, “Mutational Pressure in Zika Virus: Local ADAR-Editing Areas Associated with Pauses in Translation and Replication,” Frontiers in Cellular and Infection Microbiology, vol. 7, 2017. View at Publisher · View at Google Scholar
  • Liam Campbell, and Simon R. Turner, “A Comprehensive Analysis of RALF Proteins in Green Plants Suggests There Are Two Distinct Functional Groups,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Stéphanie S. Cornelis, Nathalie M. Bax, Jana Zernant, Rando Allikmets, Lars G. Fritsche, Johan T. den Dunnen, Muhammad Ajmal, Carel B. Hoyng, and Frans P. M. Cremers, “ In Silico Functional Meta-Analysis of 5,962 ABCA4 Variants in 3,928 Retinal Dystrophy Cases ,” Human Mutation, 2017. View at Publisher · View at Google Scholar
  • Congfei Yin, Sazzad Karim, Hongsheng Zhang, and Henrik Aronsson, “Arabidopsis RabF1 (ARA6) Is Involved in Salt Stress and Dark-Induced Senescence (DIS),” International Journal of Molecular Sciences, vol. 18, no. 2, pp. 309, 2017. View at Publisher · View at Google Scholar
  • Volodymyr Shubchynskyy, Justyna Boniecka, Alois Schweighofer, Justinas Simulis, Kotryna Kvederaviciute, Michael Stumpe, Felix Mauch, Salma Balazadeh, Bernd Mueller-Roeber, Freddy Boutrot, Cyril Zipfel, and Irute Meskiene, “ Protein phosphatase AP2C1 negatively regulates basal resistance and defense responses to Pseudomonas syringae ,” Journal of Experimental Botany, pp. erw485, 2017. View at Publisher · View at Google Scholar
  • Janet I. Sprent, Julie Ardley, and Euan K. James, “Biogeography of nodulated legumes and their nitrogen-fixing symbionts,” New Phytologist, 2017. View at Publisher · View at Google Scholar
  • Fernando Calzada, JesúsIván Solares-Pascasio, Rm Ordoñez-Razo, Claudia Velazquez, Elizabeth Barbosa, Normand García-Hernández, David Mendez-Luna, and José Correa-Basurto, “ Antihyperglycemic activity of the leaves from Annona cherimola miller and rutin on alloxan-induced diabetic rats ,” Pharmacognosy Research, vol. 9, no. 1, pp. 1, 2017. View at Publisher · View at Google Scholar
  • Juan José Pierella Karlusich, and Néstor Carrillo, “Evolution of the acceptor side of photosystem I: ferredoxin, flavodoxin, and ferredoxin-NADP+ oxidoreductase,” Photosynthesis Research, 2017. View at Publisher · View at Google Scholar
  • Yemima Givaty-Rapp, Narendra Singh Yadav, Asif Khan, and Gideon Grafi, “S1-Type Endonuclease 2 in Dedifferentiating Arabidopsis Protoplasts: Translocation to the Nucleus in Senescing Protoplasts Is Associated with De-Glycosylation,” Plos One, vol. 12, no. 1, pp. e0170067, 2017. View at Publisher · View at Google Scholar
  • Carlus Deneke, Robert Rentzsch, and Bernhard Y. Renard, “PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data,” Scientific Reports, vol. 7, pp. 39194, 2017. View at Publisher · View at Google Scholar
  • Jan Stuchlý, Veronika Kanderová, Marcela Vlková, Ivana Heřmanová, Lucie Slámová, Ondřej Pelák, Eli Taraldsrud, Dalibor Jílek, Pavlína Králíčková, Børre Fevang, Marie Trková, Ondřej Hrušák, Eva Froňková, Anna Šedivá, Jiří Litzman, and Tomáš Kalina, “Common Variable Immunodeficiency patients with a phenotypic profile of immunosenescence present with thrombocytopenia,” Scientific Reports, vol. 7, pp. 39710, 2017. View at Publisher · View at Google Scholar
  • Irina I. Tyuryaeva, Olga G. Lyublinskaya, Ivan S. Podkorytov, and Nikolai R. Skrynnikov, “Origin of anti-tumor activity of the cysteine-containing GO peptides and further optimization of their cytotoxic properties,” Scientific Reports, vol. 7, pp. 40217, 2017. View at Publisher · View at Google Scholar
  • Zhaleh Hosseini, and Sayed-Amir Marashi, “Discovering missing reactions of metabolic networks by using gene co-expression data,” Scientific Reports, vol. 7, pp. 41774, 2017. View at Publisher · View at Google Scholar
  • Xiang Liu, Jia Song, Shuo Wang, Jing Zhao, and Yan Chen, “Learning to Diagnose Cirrhosis with Liver Capsule Guided Ultrasound Image Classification,” Sensors, vol. 17, no. 1, pp. 149, 2017. View at Publisher · View at Google Scholar
  • Puja Bharti, Deepti Mittal, and Rupa Ananthasivan, “Computer-aided Characterization and Diagnosis of Diffuse Liver Diseases Based on Ultrasound Imaging,” Ultrasonic Imaging, vol. 39, no. 1, pp. 33–61, 2017. View at Publisher · View at Google Scholar
  • Farah Deeba, Md. Zubbair Malik, Irshad Husain Naqvi, Md. Shakir Hussain Haider, Zoya Shafat, Priyanka Sinha, Romana Ishrat, Anwar Ahmed, and Shama Parveen, “Potential entry inhibitors of the envelope protein (E2) of Chikungunya virus: in silico structural modeling, docking and molecular dynamic studies,” VirusDisease, 2017. View at Publisher · View at Google Scholar
  • Krishna P. Singh, Neeraj Verma, Bashir A. Akhoon, Vishal Bhatt, Shishir K. Gupta, Shailendra K. Gupta, and Suchi Smita, “Sequence-based approach for rapid identification of cross-clade CD8+ T-cell vaccine candidates from all high-risk HPV strains,” 3 Biotech, vol. 6, no. 1, 2016. View at Publisher · View at Google Scholar
  • Salvador Eugenio C. Caoili, “Expressing Redundancy among Linear-Epitope Sequence Data Based on Residue-Level Physicochemical Similarity in the Context of Antigenic Cross-Reaction,” Advances in Bioinformatics, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • Xu Wang, and Erchin Serpedin, “An Overview on the Applications of Matrix Theory in Wireless Communications and Signal Processing,” Algorithms, vol. 9, no. 4, pp. 68, 2016. View at Publisher · View at Google Scholar
  • Carlos De Niz, Raziur Rahman, Xiangyuan Zhao, and Ranadip Pal, “Algorithms for Drug Sensitivity Prediction,” Algorithms, vol. 9, no. 4, pp. 77, 2016. View at Publisher · View at Google Scholar
  • C. Damon, M. Luck, L. Toullec, I. Etienne, M. Buchler, B. Hurault de Ligny, G. Choukroun, A. Thierry, C. Vigneau, B. Moulin, A.-E. Heng, J.-F. Subra, C. Legendre, A. Monnot, A. Yartseva, M. Bateson, P. Laurent-Puig, D. Anglicheau, P. Beaune, M. A. Loriot, E. Thervet, and N. Pallet, “Predictive Modeling of Tacrolimus Dose Requirement Based on High-Throughput Genetic Screening,” American Journal of Transplantation, 2016. View at Publisher · View at Google Scholar
  • Charles A. Galea, Aamira Huq, Paul J. Lockhart, Geneieve Tai, Louise A. Corben, Eppie M. Yiu, Lyle C. Gurrin, David R. Lynch, Sarah Gelbard, Alexandra Durr, Francoise Pousset, Michael Parkinson, Robyn Labrum, Paola Giunti, Susan L. Perlman, Martin B. Delatycki, and Marguerite V. Evans-Galea, “ Compound heterozygous FXN mutations and clinical outcome in friedreich ataxia ,” Annals of Neurology, vol. 79, no. 3, pp. 485–495, 2016. View at Publisher · View at Google Scholar
  • Qihui Wang, Gary Wong, Guangwen Lu, Jinghua Yan, and George F. Gao, “MERS-CoV spike protein: Targets for vaccines and therapeutics,” Antiviral Research, 2016. View at Publisher · View at Google Scholar
  • Mohamed Helmy, Mohamed Awad, and Kareem A. Mosa, “Limited resources of genome sequencing in developing countries: Challenges and solutions,” Applied & Translational Genomics, 2016. View at Publisher · View at Google Scholar
  • Volkan Uslan, and Huseyin Seker, “Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression,” Applied Soft Computing, 2016. View at Publisher · View at Google Scholar
  • Agustín Ostachuk, “Bovine viral diarrhea virus structural protein E2 as a complement regulatory protein,” Archives of Virology, 2016. View at Publisher · View at Google Scholar
  • Lanxiang Liu, Xinyu Zhou, Yuqing Zhang, Yiyun Liu, Lining Yang, Juncai Pu, Dan Zhu, Chanjuan Zhou, and Peng Xie, “The identification of metabolic disturbances in the prefrontal cortex of the chronic restraint stress rat model of depression,” Behavioural Brain Research, vol. 305, pp. 148–156, 2016. View at Publisher · View at Google Scholar
  • Ingo Heilmann, “Plant phosphoinositide signaling - dynamics on demand,” Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, 2016. View at Publisher · View at Google Scholar
  • Jason A. Somarelli, Kathryn E. Ware, Rumen Kostadinov, Jeffrey M. Robinson, Hakima Amri, Mones Abu-Asab, Nicolaas Fourie, Rui Diogo, David Swofford, and Jeffrey P. Townsend, “PhyloOncology: Understanding cancer through phylogenetic analysis,” Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, 2016. View at Publisher · View at Google Scholar
  • Gianni Monaco, Hao Chen, Michael Poidinger, Jinmiao Chen, João Pedro de Magalhães, and Anis Larbi, “flowAI: automatic and interactive anomaly discerning tools for flow cytometry data,” Bioinformatics, pp. btw191, 2016. View at Publisher · View at Google Scholar
  • S. Cogill, and L. Wang, “Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates,” Bioinformatics, pp. btw498, 2016. View at Publisher · View at Google Scholar
  • Santiago Valentín Galván-Gordillo, Angélica Concepción Martínez-Navarro, Beatriz Xoconostle-Cázares, and Roberto Ruiz-Medrano, “Bioinformatic analysis of Arabidopsis reverse transcriptases with a zinc-finger domain,” Biologia, vol. 71, no. 11, 2016. View at Publisher · View at Google Scholar
  • Z. Liu, Y. S. Luan, and J. B. Li, “Molecular cloning and expression analysis of SpWRKY6 gene from Solanum pimpinellifolium,” Biologia Plantarum, 2016. View at Publisher · View at Google Scholar
  • Salvatore Camiolo, Gaurav Sablok, and Andrea Porceddu, “Altools: a user friendly NGS data analyser,” Biology Direct, vol. 11, no. 1, 2016. View at Publisher · View at Google Scholar
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm,” Biomedical Signal Processing and Control, vol. 28, pp. 27–40, 2016. View at Publisher · View at Google Scholar
  • R. Kinet, P. Dzaomuho, J. Baert, B. Taminiau, G. Daube, C. Nezer, Y. Brostaux, F. Nguyen, G. Dumont, P. Thonart, and F. Delvigne, “Flow cytometry community fingerprinting and amplicon sequencing for the assessment of landfill leachate cellulolytic bioaugmentation,” Bioresource Technology, 2016. View at Publisher · View at Google Scholar
  • Samiie Pouragahi, Mohammad Hossein Sanati, Mehdi Sadeghi, and Marjan Nassiri-Asl, “Bioinformatics Approach for Pattern of Myelin-Specific Proteins and Related Human Disorders,” Biotechnology and Health Sciences, vol. Inpress, no. Inpress, 2016. View at Publisher · View at Google Scholar
  • Kerstin Johnsson, Jonas Wallin, and Magnus Fontes, “BayesFlow: latent modeling of flow cytometry cell populations,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Nicola Prezza, Francesco Vezzi, Max Käller, and Alberto Policriti, “Fast, accurate, and lightweight analysis of BS-treated reads with ERNE 2,” BMC Bioinformatics, vol. 17, no. S4, 2016. View at Publisher · View at Google Scholar
  • Sanja Glišić, David P. Cavanaugh, Krishnan K. Chittur, Milan Sencanski, Vladimir Perovic, and Tijana Bojić, “Common molecular mechanism of the hepatic lesion and the cardiac parasympathetic regulation in chronic hepatitis C infection: a critical role for the muscarinic receptor type 3,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Yijia Zhang, Hongfei Lin, Zhihao Yang, and Jian Wang, “Construction of dynamic probabilistic protein interaction networks for protein complex identification,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Aaron Y. Lee, Cecilia S. Lee, and Russell N. Van Gelder, “Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Nguyen-Quoc-Khanh Le, and Yu-Yen Ou, “Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Navadon Khunlertgit, and Byung-Jun Yoon, “Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network,” BMC Bioinformatics, vol. 17, no. S13, 2016. View at Publisher · View at Google Scholar
  • Hong Cui, Dongfang Xu, Steven S. Chong, Martin Ramirez, Thomas Rodenhausen, James A. Macklin, Bertram Ludäscher, Robert A. Morris, Eduardo M. Soto, and Nicolás Mongiardino Koch, “Introducing Explorer of Taxon Concepts with a case study on spider measurement matrix building,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Lingfeng Zeng, Rong Deng, Ziping Guo, Shushen Yang, and Xiping Deng, “Genome-wide identification and characterization of Glyceraldehyde-3-phosphate dehydrogenase genes family in wheat (Triticum aestivum),” BMC Genomics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Martin Svoboda, Anastasia Meshcheryakova, Georg Heinze, Markus Jaritz, Dietmar Pils, Dan Cacsire Castillo-Tong, Gudrun Hager, Theresia Thalhammer, Erika Jensen-Jarolim, Peter Birner, Ioana Braicu, Jalid Sehouli, Sandrina Lambrechts, Ignace Vergote, Sven Mahner, Philip Zimmermann, Robert Zeillinger, and Diana Mechtcheriakova, “AID/APOBEC-network reconstruction identifies pathways associated with survival in ovarian cancer,” BMC Genomics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Marie-Cécile Dufour, Noël Magnin, Bernard Dumas, Sophie Vergnes, and Marie-France Corio-Costet, “High-throughput gene-expression quantification of grapevine defense responses in the field using microfluidic dynamic arrays,” BMC Genomics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Hans-Jörg Mai, Stéphanie Pateyron, and Petra Bauer, “Iron homeostasis in Arabidopsis thaliana: transcriptomic analyses reveal novel FIT-regulated genes, iron deficiency marker genes and functional gene networks,” BMC Plant Biology, vol. 16, no. 1, 2016. View at Publisher · View at Google Scholar
  • Brian Dean, Madhara Udawela, and Elizabeth Scarr, “Validating reference genes using minimally transformed qpcr data: findings in human cortex and outcomes in schizophrenia,” BMC Psychiatry, vol. 16, no. 1, 2016. View at Publisher · View at Google Scholar
  • Ahmad Chaddad, and Camel Tanougast, “Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images,” Brain Informatics, 2016. View at Publisher · View at Google Scholar
  • Haitao Yang, Shaoyu Li, Hongyan Cao, Chichen Zhang, and Yuehua Cui, “Predicting disease trait with genomic data: a composite kernel approach,” Briefings in Bioinformatics, pp. bbw043, 2016. View at Publisher · View at Google Scholar
  • Gaston K. Mazandu, Emile R. Chimusa, and Nicola J. Mulder, “Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery,” Briefings in Bioinformatics, pp. bbw067, 2016. View at Publisher · View at Google Scholar
  • Juan Xu, Tingting Shao, Na Ding, Yongsheng Li, and Xia Li, “miRNA–miRNA crosstalk: from genomics to phenomics,” Briefings in Bioinformatics, pp. bbw073, 2016. View at Publisher · View at Google Scholar
  • Li Guo, and Tingming Liang, “MicroRNAs and their variants in an RNA world: implications for complex interactions and diverse roles in an RNA regulatory network,” Briefings in Bioinformatics, pp. bbw124, 2016. View at Publisher · View at Google Scholar
  • Panagiota Economopoulou, and Amanda Psyrri, “Organ-specific gene modulation: Principles and applications in cancer research,” Cancer Letters, 2016. View at Publisher · View at Google Scholar
  • Marie Barberon, Joop Engelbertus Martinus Vermeer, Damien De Bellis, Peng Wang, Sadaf Naseer, Tonni Grube Andersen, Bruno Martin Humbel, Christiane Nawrath, Junpei Takano, David Edward Salt, and Niko Geldner, “Adaptation of Root Function by Nutrient-Induced Plasticity of Endodermal Differentiation,” Cell, vol. 164, no. 3, pp. 447–459, 2016. View at Publisher · View at Google Scholar
  • Albin Jeanne, Camille Boulagnon-Rombi, Jérôme Devy, Louis Théret, Caroline Fichel, Nicole Bouland, Marie-Danièle Diebold, Laurent Martiny, Christophe Schneider, and Stéphane Dedieu, “Matricellular TSP-1 as a target of interest for impeding melanoma spreading: towards a therapeutic use for TAX2 peptide,” Clinical & Experimental Metastasis, 2016. View at Publisher · View at Google Scholar
  • Gurpreet Kaur, and Pratap Kumar Pati, “Analysis of cis-acting regulatory elements of Respiratory burst oxidase homolog (Rboh) gene families in Arabidopsis and rice provides clues for their diverse functions,” Computational Biology and Chemistry, 2016. View at Publisher · View at Google Scholar
  • Lasse Holmström, Kyösti Karttunen, and Jussi Klemelä, “Estimation of level set trees using adaptive partitions,” Computational Statistics, 2016. View at Publisher · View at Google Scholar
  • Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, and Jasjit S. Suri, “A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens,” Computer Methods And Programs In Biomedicine, vol. 124, pp. 161–179, 2016. View at Publisher · View at Google Scholar
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind,” Computer Methods And Programs In Biomedicine, vol. 126, pp. 98–109, 2016. View at Publisher · View at Google Scholar
  • Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj K. Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, and Jasjit S. Suri, “PCA-based Polling Strategy in Machine Learning Framework for Coronary Artery Disease Risk Assessment in Intravascular Ultrasound: A Link between Carotid and Coronary Grayscale Plaque Morphology,” Computer Methods and Programs in Biomedicine, 2016. View at Publisher · View at Google Scholar
  • Luca Saba, Nilanjan Dey, Amira S. Ashour, Sourav Samanta, Siddhartha Sankar Nath, Sayan Chakraborty, João Sanches, Dinesh Kumar, RuiTato Marinho, and Jasjit S. Suri, “Automated Stratification of Liver Disease in Ultrasound: An Online Accurate Feature Classification Paradigm,” Computer Methods and Programs in Biomedicine, 2016. View at Publisher · View at Google Scholar
  • Weng Howe Chan, Mohd Saberi Mohamad, Safaai Deris, Nazar Zaki, Shahreen Kasim, Sigeru Omatu, Juan Manuel Corchado, and Hany Al Ashwal, “Identification of Informative Genes and Pathways using an Improved Penalized Support Vector Machine with a Weighting Scheme,” Computers in Biology and Medicine, 2016. View at Publisher · View at Google Scholar
  • Tadashi Araki, Pankaj K. Jain, Harman S. Suri, Narendra D. Londhe, Nobutaka Ikeda, Ayman El-Baz, Vimal K. Shrivastava, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Ajay Gupta, and Jasjit S. Suri, “Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm,” Computers in Biology and Medicine, 2016. View at Publisher · View at Google Scholar
  • A. Mouton, A. Mortelliti, A. Grill, M. Sara, B. Kryštufek, R. Juškaitis, A. Latinne, G. Amori, E. Randi, S. Büchner, B. Schulz, S. Ehlers, J. Lang, P. Adamik, G. Verbeylen, M. Dorenbosch, R. Trout, M. Elmeros, G. Aloise, S. Mazzoti, F. Matur, F. Poitevin, and J. R. Michaux, “Evolutionary history and species delimitations: a case study of the hazel dormouse, Muscardinus avellanarius,” Conservation Genetics, 2016. View at Publisher · View at Google Scholar
  • Christopher H. Dietrich, and Dmitry A. Dmitriev, “Insect Phylogenetics in the Digital Age,” Current Opinion in Insect Science, 2016. View at Publisher · View at Google Scholar
  • Philipp H Fesel, and Alga Zuccaro, “Dissecting endophytic lifestyle along the parasitism/mutualism continuum in Arabidopsis,” Current Opinion in Microbiology, vol. 32, pp. 103–112, 2016. View at Publisher · View at Google Scholar
  • Joao Pedrosa, Daniel Barbosa, Nuno Almeida, Olivier Bernard, Johan Bosch, and Jan D'hooge, “Cardiac Chamber Volumetric Assessment Using 3D Ultrasound - A Review,” Current Pharmaceutical Design, vol. 22, no. 1, pp. 105–121, 2016. View at Publisher · View at Google Scholar
  • Priyanka Garg, and Pankaj Jaiswal, “Databases and bioinformatics tools for rice research,” Current Plant Biology, 2016. View at Publisher · View at Google Scholar
  • John Zaunders, Junmei Jing, Michael Leipold, Holden Maecker, Anthony D. Kelleher, and Inge Koch, “Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms,” Cytometry Part A, vol. 89A, no. 1, pp. 44–58, 2016. View at Publisher · View at Google Scholar
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “Reliability analysis of psoriasis decision support system in principal component analysis framework,” Data & Knowledge Engineering, 2016. View at Publisher · View at Google Scholar
  • Ioannis K. Moutsatsos, and Christian N. Parker, “Recent advances in quantitative high throughput and high content data analysis,” Expert Opinion on Drug Discovery, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Oluwarotimi Williams Samuel, Grace Mojisola Asogbon, Arun Kumar Sangaiah, Peng Fang, and Guanglin Li, “An Integrated Decision Support System Based on ANN and Fuzzy_AHP for Heart Failure Risk Prediction,” Expert Systems with Applications, 2016. View at Publisher · View at Google Scholar
  • Emma R. Lindsay, and Frans J. M. Maathuis, “ Arabidopsis thaliana NIP7;1 is involved in tissue arsenic distribution and tolerance in response to arsenate ,” FEBS Letters, vol. 590, no. 6, pp. 779–786, 2016. View at Publisher · View at Google Scholar
  • Bonnie L. Hurwitz, Jana M. U'Ren, and Ken Youens-Clark, “Computational prospecting the great viral unknown,” FEMS Microbiology Letters, vol. 363, no. 10, pp. fnw077, 2016. View at Publisher · View at Google Scholar
  • Mannan Hajimahmoodi, Mahnaz Khanavi, Omid Sadeghpour, Mohammad Reza Shams Ardekani, Fatemeh Zamani Mazde, Mina Sadat Khoddami, Sheida Afzalifard, and Ali Mohammad Ranjbar, “Application of Organic Acid Based Artificial Neural Network Modeling for Assessment of Commercial Vinegar Authenticity,” Food Analytical Methods, 2016. View at Publisher · View at Google Scholar
  • Sherry-Ann Brown, “Principles for Developing Patient Avatars in Precision and Systems Medicine,” Frontiers in Genetics, vol. 6, 2016. View at Publisher · View at Google Scholar
  • Richard O. Akinola, Gaston K. Mazandu, and Nicola J. Mulder, “A Quantitative Approach to Analyzing Genome Reductive Evolution Using Protein–Protein Interaction Networks: A Case Study of Mycobacterium leprae,” Frontiers in Genetics, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Behailu B. Aklilu, and Kevin M. Culligan, “Molecular Evolution and Functional Diversification of Replication Protein A1 in Plants,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Ibrahim I. Ozyigit, Ertugrul Filiz, Recep Vatansever, Kuaybe Y. Kurtoglu, Ibrahim Koc, Münir X. Öztürk, and Naser A. Anjum, “Identification and Comparative Analysis of H2O2-Scavenging Enzymes (Ascorbate Peroxidase and Glutathione Peroxidase) in Selected Plants Employing Bioinformatics Approaches,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Kostadin E. Atanasov, Luis Barboza-Barquero, Antonio F. Tiburcio, and Rubén Alcázar, “Genome Wide Association Mapping for the Tolerance to the Polyamine Oxidase Inhibitor Guazatine in Arabidopsis thaliana,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Elise A. R. Serin, Harm Nijveen, Henk W. M. Hilhorst, and Wilco Ligterink, “Learning from Co-expression Networks: Possibilities and Challenges,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Julien Le Roy, Brigitte Huss, Anne Creach, Simon Hawkins, and Godfrey Neutelings, “Glycosylation Is a Major Regulator of Phenylpropanoid Availability and Biological Activity in Plants,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Guido Durian, Moona Rahikainen, Sara Alegre, Mikael Brosché, and Saijaliisa Kangasjärvi, “Protein Phosphatase 2A in the Regulatory Network Underlying Biotic Stress Resistance in Plants,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Hemant R. Kushwaha, Rohit Joshi, Ashwani Pareek, and Sneh L. Singla-Pareek, “MATH-Domain Family Shows Response toward Abiotic Stress in Arabidopsis and Rice,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Senthilkumar K. Muthusamy, Monika Dalal, Viswanathan Chinnusamy, and Kailash C. Bansal, “Differential Regulation of Genes Coding for Organelle and Cytosolic ClpATPases under Biotic and Abiotic Stresses in Wheat,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar