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 281589
  • - Research Article

An Improved PID Algorithm Based on Insulin-on-Board Estimate for Blood Glucose Control with Type 1 Diabetes

Ruiqiang Hu | Chengwei Li
  • Special Issue
  • - Volume 2015
  • - Article ID 549026
  • - Research Article

G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS

Rongdong Hu | Guangming Liu | ... | Lixin Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 715639
  • - Research Article

Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network

Baoman Wang | Fei Yuan | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2015
  • - Article ID 794141
  • - Research Article

Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI

Jorge I. Galván-Tejada | José M. Celaya-Padilla | ... | José G. Tamez-Peña
  • Special Issue
  • - Volume 2015
  • - Article ID 471076
  • - Research Article

Cell Pluripotency Levels Associated with Imprinted Genes in Human

Liyun Yuan | Xiaoyan Tang | ... | Guohui Ding
  • Special Issue
  • - Volume 2015
  • - Article ID 831790
  • - Research Article

A Model of Regularization Parameter Determination in Low-Dose X-Ray CT Reconstruction Based on Dictionary Learning

Cheng Zhang | Tao Zhang | ... | Yihui Guan
  • Special Issue
  • - Volume 2015
  • - Article ID 462363
  • - Research Article

Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach

Fei Yuan | You Zhou | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2015
  • - Article ID 124630
  • - Research Article

Nonsynonymous Single-Nucleotide Variations on Some Posttranslational Modifications of Human Proteins and the Association with Diseases

Bo Sun | Menghuan Zhang | ... | Lu Xie
  • Special Issue
  • - Volume 2015
  • - Article ID 141363
  • - Research Article

KIR Genes and Patterns Given by the A Priori Algorithm: Immunity for Haematological Malignancies

J. Gilberto Rodríguez-Escobedo | Christian A. García-Sepúlveda | Juan C. Cuevas-Tello

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