Gene selection and cancer classification using Monte Carlo and nonnegative matrix factorization-Reference-Cited by-同舟云学术

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Gene selection and cancer classification using Monte Carlo and nonnegative matrix factorization

Published:2016 Issue:46 Volume:6 Page:39652-39656
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Chen Jing¹²³⁴,Ma Qin¹²³⁴,Hu Xiaoyan¹²³⁴,Zhang Miao¹²³⁴,Qin Dongdong¹²³⁴,Lu Xiaoquan¹²³⁴

Affiliation:

1. Key Laboratory of Bioelectrochemistry & Environmental Analysis of Gansu Province

2. College of Chemistry & Chemical Engineering

3. Northwest Normal University

4. P. R. China

Abstract

Cancer classification is a key problem for identifying the genomic biomarkers and treating cancerous tumors in clinical research.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/RA/C6RA05694F

Reference35 articles.

1. Colon cancer prognosis prediction by gene expression profiling

2. Gene-expression profiles predict survival of patients with lung adenocarcinoma

3. Gene expression correlates of clinical prostate cancer behavior

4. Artificial neural networks for diagnosis and survival prediction in colon cancer

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture Data;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2018-05-01

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