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Current Topics in Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 1568-0266
ISSN (Online): 1873-4294

Review Article

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

Author(s): Ruirui Liang, Jiayang Xie, Chi Zhang, Mengying Zhang, Hai Huang, Haizhong Huo*, Xin Cao* and Bing Niu*

Volume 19, Issue 25, 2019

Page: [2301 - 2317] Pages: 17

DOI: 10.2174/1568026619666191016155543

Price: $65

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.

Keywords: Big data, Machine learning, Next generation sequencing, High-through sequence, Support vector machine, Naïve Bayes classifier, Artifical neural work, Ensemble learning, Adaboost, bagging.

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