BioMed Research International

Scalable Machine Learning Algorithms in Computational Biology and Biomedicine 2020


Publishing date
01 Nov 2020
Status
Closed
Submission deadline
03 Jul 2020

Lead Editor

1University of Electronic Science and Technology of China, Chengdu, China

2Silesian University of Technology, Gliwice, Poland

3The Ohio State University, Columbus, USA

4University of Texas Health Science Center at Houston, Houston, USA

This issue is now closed for submissions.
More articles will be published in the near future.

Scalable Machine Learning Algorithms in Computational Biology and Biomedicine 2020

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Since the 'Precision Medicine' initiative was launched by President Obama, a huge challenge and chance for the computational biology and biomedicine community has been presented. In recent years, computational methods appeared vastly in biomedicine and bioinformatics research, including medical image analysis, healthcare informatics, cancer genomics, etc. Lots of prediction and mining works were required on the medical data, such as tumor images, electronic medical records, micro-array, GWAS (Genome-Wide Association Study) data. Therefore, a growing number of machine learning algorithms were employed in the prediction tasks of computational biology and biomedicine.

Advanced machine learning techniques have also developed quickly in recent years. Several impacted new methods were reported in top journals and conferences. For example, affinity propagation was published in Science as a novel clustering algorithm. Recently, deep learning seems to be suitable for big data and become to be the next hot topic. Parallel mechanism is also developed by the scholars and industry researchers, such as Mahout. A growing number of computer scientists devote to the advanced large-scale data mining techniques. However, the application in biomedicine has not fully been addressed and fell behind the technique growth.

This Special Issue aims to target the recent large-scale machine learning techniques together with biomedicine applications. Applications in medical and biological scalable data are encouraged. We especially encourage clinical or specific diseases genomics research with computational methods. We also welcome novel classification and clustering algorithms, such as strategies for large imbalanced learning, strategies for multiple views, learning, strategies for various semi-supervised learning, strategies for multiple kernels learning, etc. Both original research and review articles are welcomed.

Potential topics include but are not limited to the following:

  • Novel computational strategies for clinical or specific diseases research
  • Large scale classification algorithms with application to biomedicine or bioinformatics
  • Large scale clustering algorithms with application to biomedicine or bioinformatics
  • Imbalanced learning algorithms for biomedical or bioinformatics data
  • Multiple views learning from medical image classification
  • Semi-supervised learning strategies for biomedical or bioinformatics data
  • Ensemble learning strategies for biomedical or bioinformatics data
  • Parallel learning techniques for ultra large biomedical or bioinformatics data
  • Multiple kernels learning with application to biomedicine or bioinformatics
  • Multiple labels classification algorithms with application to biomedicine or bioinformatics

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 5610658
  • - Research Article

SAMA: A Fast Self-Adaptive Memetic Algorithm for Detecting SNP-SNP Interactions Associated with Disease

Ying Yin | Boxin Guan | ... | Yuan Li
  • Special Issue
  • - Volume 2020
  • - Article ID 9701734
  • - Research Article

Predicting Gram-Positive Bacterial Protein Subcellular Location by Using Combined Features

Feng-Min Li | Xiao-Wei Gao
  • Special Issue
  • - Volume 2020
  • - Article ID 6984045
  • - Research Article

Use Chou’s 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information

Weizhong Lu | Zhengwei Song | ... | Haiou Li
  • Special Issue
  • - Volume 2020
  • - Article ID 7248513
  • - Research Article

Effects of Trace Irrigation at Different Depths on Transcriptome Expression Pattern in Cotton (G. hirsutum L.) Leaves

Li-yu Chen | Li-feng Zhang | ... | Yan Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 1895076
  • - Research Article

Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study

Timur Köse | Su Özgür | ... | Pembe Keskinoğlu
  • Special Issue
  • - Volume 2020
  • - Article ID 4256301
  • - Research Article

Identification of COVID-19 Infection-Related Human Genes Based on a Random Walk Model in a Virus–Human Protein Interaction Network

YuHang Zhang | Tao Zeng | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2020
  • - Article ID 4621403
  • - Research Article

A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation

Jinghua Zhang | Chen Li | ... | Shouliang Qi
  • Special Issue
  • - Volume 2020
  • - Article ID 7141725
  • - Research Article

Missing Value Estimation Methods Research for Arrhythmia Classification Using the Modified Kernel Difference-Weighted KNN Algorithms

Fei Yang | Jiazhi Du | ... | Qinma Kang
  • Special Issue
  • - Volume 2020
  • - Article ID 6384120
  • - Research Article

Alternative Polyadenylation Modification Patterns Reveal Essential Posttranscription Regulatory Mechanisms of Tumorigenesis in Multiple Tumor Types

Min Li | XiaoYong Pan | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2020
  • - Article ID 9186546
  • - Research Article

Identification of an Individualized Prognostic Signature Based on the RWSR Model in Early-Stage Bladder Carcinoma

Liyang Liu | Xiaodan Zhong | ... | Yuanning Liu
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision67 days
Acceptance to publication30 days
CiteScore3.600
Impact Factor2.276
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