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Citations to this Journal [1,334 citations: 101–200 of 1,288 articles]

Articles published in Advances in Bioinformatics have been cited 1,334 times. The following is a list of the 1,288 articles that have cited the articles published in Advances in Bioinformatics.

  • 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
  • Jin Mao, Lisa R. Moore, Carrine E. Blank, Elvis Hsin-Hui Wu, Marcia Ackerman, Sonali Ranade, and Hong Cui, “Microbial phenomics information extractor (MicroPIE): a natural language processing tool for the automated acquisition of prokaryotic phenotypic characters from text sources,” 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
  • Dallas C. Jones, Wenguang Zheng, Sheng Huang, Chuanlong Du, Xuefeng Zhao, Ragothaman M. Yennamalli, Taner Z. Sen, Dan Nettleton, Eve S. Wurtele, and Ling Li, “A Clade-Specific Arabidopsis Gene Connects Primary Metabolism and Senescence,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Roman Gangl, and Raimund Tenhaken, “Raffinose Family Oligosaccharides Act As Galactose Stores in Seeds and Are Required for Rapid Germination of Arabidopsis in the Dark,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Bing-Xian Chen, Wen-Yan Li, Yin-Tao Gao, Zhong-Jian Chen, Wei-Na Zhang, Qin-Jian Liu, Zhuang Chen, and Jun Liu, “Involvement of Polyamine Oxidase-Produced Hydrogen Peroxide during Coleorhiza-Limited Germination of Rice Seeds,” Frontiers in Plant Science, vol. 07, 2016. View at Publisher · View at Google Scholar
  • Suneha Goswami, Ranjeet R. Kumar, Kavita Dubey, Jyoti P. Singh, Sachidanand Tiwari, Ashok Kumar, Shuchi Smita, Dwijesh C. Mishra, Sanjeev Kumar, Monendra Grover, Jasdeep C. Padaria, Yugal K. Kala, Gyanendra P. Singh, Himanshu Pathak, Viswanathan Chinnusamy, Anil Rai, Shelly Praveen, and Raj D. Rai, “SSH Analysis of Endosperm Transcripts and Characterization of Heat Stress Regulated Expressed Sequence Tags in Bread Wheat,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Tzvetina Brumbarova, and Rumen Ivanov, “Differential Gene Expression and Protein Phosphorylation as Factors Regulating the State of the Arabidopsis SNX1 Protein Complexes in Response to Environmental Stimuli,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Thomas Dobrenel, Eder Mancera-Martínez, Céline Forzani, Marianne Azzopardi, Marlène Davanture, Manon Moreau, Mikhail Schepetilnikov, Johana Chicher, Olivier Langella, Michel Zivy, Christophe Robaglia, Lyubov A. Ryabova, Johannes Hanson, and Christian Meyer, “The Arabidopsis TOR Kinase Specifically Regulates the Expression of Nuclear Genes Coding for Plastidic Ribosomal Proteins and the Phosphorylation of the Cytosolic Ribosomal Protein S6,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Yanchun Cui, Manling Wang, Huina Zhou, Mingjuan Li, Lifang Huang, Xuming Yin, Guoqiang Zhao, Fucheng Lin, Xinjie Xia, and Guoyun Xu, “OsSGL, a Novel DUF1645 Domain-Containing Protein, Confers Enhanced Drought Tolerance in Transgenic Rice and Arabidopsis,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Guglielmo Lucchese, “Understanding Neuropsychiatric Diseases, Analyzing the Peptide Sharing between Infectious Agents and the Language-Associated NMDA 2A Protein,” Frontiers in Psychiatry, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Salwa Mohd Mostafa, and Abul BMMK Islam, “ An in silico approach predicted potential therapeutics that can confer protection from maximum pathogenic Hantaviruses ,” Future Virology, 2016. View at Publisher · View at Google Scholar
  • Bharati Pandey, Sonam Grover, Chetna Tyagi, Sukriti Goyal, Salma Jamal, Aditi Singh, Jagdeep Kaur, and Abhinav Grover, “Molecular principles behind pyrazinamide resistance due to mutations in panD gene in Mycobacterium tuberculosis,” Gene, 2016. View at Publisher · View at Google Scholar
  • Cong Yu, Hui Yin Tan, Meerim Choi, Adam J. Stanenas, Alicia K. Byrd, Kevin D. Raney, Christopher S. Cohan, and Piero R. Bianco, “ SSB binds to the RecG and PriA helicases in vivo in the absence of DNA ,” Genes to Cells, 2016. View at Publisher · View at Google Scholar
  • Yan-Li Chang, Wen-Yan Li, Hai Miao, Shuai-Qi Yang, Ri Li, Xiang Wang, Wen-Qiang Li, and Kun-Ming Chen, “Comprehensive Genomic Analysis and Expression Profiling of the NOX Gene Families under Abiotic Stresses and Hormones in Plants,” Genome Biology and Evolution, vol. 8, no. 3, pp. 791–810, 2016. View at Publisher · View at Google Scholar
  • Regis A. James, Ian M. Campbell, Edward S. Chen, Philip M. Boone, Mitchell A. Rao, Matthew N. Bainbridge, James R. Lupski, Yaping Yang, Christine M. Eng, Jennifer E. Posey, and Chad A. Shaw, “A visual and curatorial approach to clinical variant prioritization and disease gene discovery in genome-wide diagnostics,” Genome Medicine, vol. 8, no. 1, 2016. View at Publisher · View at Google Scholar
  • Elham Pashaei, Mustafa Ozen, and Nizamettin Aydin, “Splice site identification in human genome using random forest,” Health and Technology, 2016. View at Publisher · View at Google Scholar
  • María Victoria Quiroga, Gabriela Mataloni, Bruno M. S. Wanderley, André M. Amado, and Fernando Unrein, “Bacterioplankton morphotypes structure and cytometric fingerprint rely on environmental conditions in a sub-Antarctic peatland,” Hydrobiologia, 2016. View at Publisher · View at Google Scholar
  • Maziyar Baran Pouyan, Vasu Jindal, and Mehrdad Nourani, “Clinical Outcome Prediction Using Single-Cell Data,” IEEE Transactions on Biomedical Circuits and Systems, vol. 10, no. 5, pp. 1012–1022, 2016. View at Publisher · View at Google Scholar
  • Tahirah Yasmin, Salma Akter, Mouly Debnath, Akio Ebihara, Tsutomu Nakagawa, and A. H. M. Nurun Nabi, “In silico proposition to predict cluster of B- and T-cell epitopes for the usefulness of vaccine design from invasive, virulent and membrane associated proteins of C. jejuni,” In Silico Pharmacology, vol. 4, no. 1, 2016. View at Publisher · View at Google Scholar
  • Shansong Yang, Weiming Lu, Zhanjiang Zhang, Baogang Wei, and Wenjia An, “Amplifying scientific paper’s abstract by leveraging data-weighted reconstruction,” Information Processing & Management, 2016. View at Publisher · View at Google Scholar
  • Divya Anand, Babita Pandey, and Devendra K. Pandey, “A Novel Hybrid Feature Selection Model for Classification of Neuromuscular Dystrophies Using Bhattacharyya Coefficient, Genetic Algorithm and Radial Basis Function Based Support Vector Machine,” Interdisciplinary Sciences: Computational Life Sciences, 2016. View at Publisher · View at Google Scholar
  • Basak Esin Kokturk, and Bilge Karacali, “Annealing-based model-free expectation maximisation for multi-colour flow cytometry data clustering,” International Journal Of Data Mining And Bioinformatics, vol. 14, no. 1, pp. 86–99, 2016. View at Publisher · View at Google Scholar
  • Xingmin Zhao, Weipeng Cao, Hongyu Zhu, Zhong Ming, and Rana Aamir Raza Ashfaq, “An initial study on the rank of input matrix for extreme learning machine,” International Journal of Machine Learning and Cybernetics, 2016. View at Publisher · View at Google Scholar
  • Wen-Xing Li, Shao-Xing Dai, Jia-Qian Liu, Qian Wang, Gong-Hua Li, and Jing-Fei Huang, “Integrated Analysis of Alzheimer’s Disease and Schizophrenia Dataset Revealed Different Expression Pattern in Learning and Memory,” Journal of Alzheimer's Disease, vol. 51, no. 2, pp. 417–425, 2016. View at Publisher · View at Google Scholar
  • R. Santhosh, S. N. Satheesh, M. Gurusaran, Daliah Michael, K. Sekar, and J. Jeyakanthan, “NIMS: a database on nucleobase compounds and their interactions in macromolecular structures,” Journal of Applied Crystallography, vol. 49, no. 3, pp. 1093–1098, 2016. View at Publisher · View at Google Scholar
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  • Mukesh Kumar, Nitish Kumar Rath, and Santanu Kumar Rath, “Analysis of Microarray Leukemia Data Using an Efficient MapReduce-Based K-Nearest-Neighbor Classifier,” Journal of Biomedical Informatics, 2016. View at Publisher · View at Google Scholar
  • Farrokh Mehryary, Suwisa Kaewphan, Kai Hakala, and Filip Ginter, “Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification,” Journal of Biomedical Semantics, vol. 7, no. 1, 2016. View at Publisher · View at Google Scholar
  • Martiniano Bello, Mixtli J. Torres, Alfonso Méndez-Tenorio, and José Correa-Basurto, “Conformational changes associated with L16P and T118M mutations in the membrane-embedded PMP22 protein, consequential in CMT-1A,” Journal of Biomolecular Structure and Dynamics, pp. 1–15, 2016. View at Publisher · View at Google Scholar
  • Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew, and Yuedong Yang, “Sequence-Based Prediction of Protein–Carbohydrate Binding Sites Using Support Vector Machines,” Journal of Chemical Information and Modeling, 2016. View at Publisher · View at Google Scholar
  • Grigoriy Gogoshin, Eric Boerwinkle, and Andrei S. Rodin, “New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data,” Journal of Computational Biology, 2016. View at Publisher · View at Google Scholar
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  • Shweta Kulshreshtha, Vigi Chaudhary, Girish K. Goswami, and Nidhi Mathur, “Computational approaches for predicting mutant protein stability,” Journal of Computer-Aided Molecular Design, 2016. View at Publisher · View at Google Scholar
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  • Henning Ruge, Sandra Flosdorff, Ingo Ebersberger, Fatima Chigri, and Ute C. Vothknecht, “The calmodulin-like proteins AtCML4 and AtCML5 are single-pass membrane proteins targeted to the endomembrane system by an N-terminal signal anchor sequence,” Journal of Experimental Botany, pp. erw101, 2016. View at Publisher · View at Google Scholar
  • Muhammad Ansar Farooq, Amelie Detterbeck, Stephan Clemens, and Karl-Josef Dietz, “Silicon-induced reversibility of cadmium toxicity in rice,” Journal of Experimental Botany, pp. erw175, 2016. View at Publisher · View at Google Scholar
  • Evan Murphy, Lam Dai Vu, Lisa Van den Broeck, Zhefeng Lin, Priya Ramakrishna, Brigitte van de Cotte, Allison Gaudinier, Tatsuaki Goh, Daniel Slane, Tom Beeckman, Dirk Inzé, Siobhan M. Brady, Hidehiro Fukaki, and Ive De Smet, “RALFL34 regulates formative cell divisions in Arabidopsis pericycle during lateral root initiation,” Journal of Experimental Botany, pp. erw281, 2016. View at Publisher · View at Google Scholar
  • Deyang Xu, Franziska S. Hanschen, Katja Witzel, Sebastian J. Nintemann, Hussam Hassan Nour-Eldin, Monika Schreiner, and Barbara Ann Halkier, “Rhizosecretion of stele-synthesized glucosinolates and their catabolites requires GTR-mediated import in Arabidopsis,” Journal of Experimental Botany, pp. erw355, 2016. View at Publisher · View at Google Scholar
  • Lu Li, Szymon Kubiszewski-Jakubiak, Jordan Radomiljac, Yan Wang, Simon R. Law, Olivier Keech, Reena Narsai, Oliver Berkowitz, Owen Duncan, Monika W. Murcha, and James Whelan, “ Characterization of a novel β-barrel protein (AtOM47) from the mitochondrial outer membrane of Arabidopsis thaliana ,” Journal of Experimental Botany, pp. erw366, 2016. View at Publisher · View at Google Scholar
  • Qinggang Yin, Guoan Shen, Zhenzhan Chang, Yuhong Tang, Hongwen Gao, and Yongzhen Pang, “ Involvement of three putative glucosyltransferases from the UGT72 family in flavonol glucoside/rhamnoside biosynthesis in Lotus japonicus seeds ,” Journal of Experimental Botany, pp. erw420, 2016. View at Publisher · View at Google Scholar
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