Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components-Reference-Cited by-同舟云学术

Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components

Published:2019-11-29 Issue:25 Volume:19 Page:2301-2317
ISSN:1568-0266
Container-title:Current Topics in Medicinal Chemistry
language:en
Short-container-title:CTMC

Author:

Liang Ruirui¹,Xie Jiayang¹,Zhang Chi²,Zhang Mengying¹,Huang Hai¹,Huo Haizhong³,Cao Xin⁴,Niu Bing¹

Affiliation:

1. School of Life Sciences, Shanghai University, Shanghai, 200444, China

2. Foshan Huaxia Eye Hospital, Huaxia Eye Hospital Group, Foshan 528000, China

3. Department of General Surgery, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

4. Zhongshan Hospital, Institute of Clinical Science, Shanghai Medical College, Fudan University, Shanghai 200032, China

Abstract

In recent years, the successful implementation of human genome project has made people realize that genetic, environmental and lifestyle factors should be combined together to study cancer due to the complexity and various forms of the disease. The increasing availability and growth rate of ‘big data’ derived from various omics, opens a new window for study and therapy of cancer. In this paper, we will introduce the application of machine learning methods in handling cancer big data including the use of artificial neural networks, support vector machines, ensemble learning and naïve Bayes classifiers.

Funder

Chinese National Natural Science Foundation

National Key Research and Development Program of China

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery,General Medicine

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