Computational and Mathematical Methods in Medicine

Machine Learning and Network Methods for Biology and Medicine


Status
Published

Lead Editor

1Shanghai Maritime University, Shanghai, China

2Mount Sinai School of Medicine, New York, USA

3Aberystwyth University, Aberystwyth, UK

4Columbia University Medical Center, New York, USA

5China-Japan Union Hospital of Jilin University, Changchun, China


Machine Learning and Network Methods for Biology and Medicine

Description

In biology and medicine, various data, such as sequencing data, microarray, genotyping, and phenotype, are generated and released. But the straightforward traditional statistical analysis can only explore very limited perspectives of biological mechanisms. Advanced machine learning and network methods can be introduced to investigate more complex and hidden structures within the data and create big value out of the data. For example, deep learning has shown great promises in business and computer sciences, but in biology and medical studies, such method has not been applied yet.

This special issue focuses on recent developments in machine learning and network methods and their applications in biology and medicine. We invite authors to contribute interdisciplinary papers of computer sciences and biology/medicine.

Potential topics include, but are not limited to:

  • Predictive model of complex biological processes, such as alternative splicing and posttranslational modification
  • Big data in biology and medicine
  • Easy-to-use software for machine learning and network methods
  • Reliable biomarker discovery
  • Network based drug discovery
  • Personalized medicine: choosing the right drug for the right patient
  • Reviews of widely used machine learning and network methods for biologist

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 915124
  • - Editorial

Machine Learning and Network Methods for Biology and Medicine

Lei Chen | Tao Huang | ... | Dandan Li
  • Special Issue
  • - Volume 2015
  • - Article ID 454076
  • - Research Article

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks

Shuihua Wang | Mengmeng Chen | ... | Sidan Du
  • Special Issue
  • - Volume 2015
  • - Article ID 571381
  • - Review Article

An Overview of Biomolecular Event Extraction from Scientific Documents

Jorge A. Vanegas | Sérgio Matos | ... | José L. Oliveira
  • Special Issue
  • - Volume 2015
  • - Article ID 846942
  • - Research Article

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma

Zhiwei Ji | Guanmin Meng | ... | Bing Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 896176
  • - Review Article

Comparative Transcriptomes and EVO-DEVO Studies Depending on Next Generation Sequencing

Tiancheng Liu | Lin Yu | ... | Yixue Li
  • Special Issue
  • - Volume 2015
  • - Article ID 362806
  • - Research Article

ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image

Yan Cui | Shizhong Liao | Hongwu Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 842784
  • - Research Article

A Five-Gene Signature Predicts Prognosis in Patients with Kidney Renal Clear Cell Carcinoma

Yueping Zhan | Wenna Guo | ... | Liucun Zhu
  • Special Issue
  • - Volume 2015
  • - Article ID 674296
  • - Review Article

Survey of Natural Language Processing Techniques in Bioinformatics

Zhiqiang Zeng | Hua Shi | ... | Zhiling Hong
  • Special Issue
  • - Volume 2015
  • - Article ID 178572
  • - Research Article

A Systematic Evaluation of Feature Selection and Classification Algorithms Using Simulated and Real miRNA Sequencing Data

Sheng Yang | Li Guo | ... | Feng Chen
  • Special Issue
  • - Volume 2015
  • - Article ID 246374
  • - Research Article

Identification of Chemical Toxicity Using Ontology Information of Chemicals

Zhanpeng Jiang | Rui Xu | Changchun Dong
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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