Latent factor analysis facilitates modelling of oncogenic genes for colon adenocarcinoma-Reference-Cited by-同舟云学术

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Latent factor analysis facilitates modelling of oncogenic genes for colon adenocarcinoma

Published:2013-10 Issue:5 Volume:7 Page:165-169
ISSN:1751-8857
Container-title:IET Systems Biology
language:en
Short-container-title:IET Systems Biology

Author:

Fu Changhe¹²,Deng Su²,Song Qiqing³,Jing Ling¹

Affiliation:

1. College of Science, China Agricultural UniversityBeijing100083People's Republic of China

2. School of Mathematics and System Science, Shenyang Normal UniversityShenyang110034People's Republic of China

3. College of Science, Guilin University of TechnologyGuilin541004People's Republic of China

Funder

National Natural Science Foundation of China

Chinese Universities Scientific Fund

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modeling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-syb.2012.0057

Reference18 articles.

1. Gene expression phenotypes of oncogenic signaling pathways;Huang E.S.;Cell Cycle,2003

2. Gene expression phenotypic models that predict the activity of oncogenic pathways

3. Distinctions in the specificity of E2F function revealed by gene expression signatures

4. Prediction and uncertainty in the analysis of gene expression profiles;Spang R.;In Silico Biol.,2002

5. Predicting the clinical status of human breast cancer by using gene expression profiles

Cited by 2 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. Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components;Current Topics in Medicinal Chemistry;2019-11-29

2. IFGFA: Identification of featured genes from genomic data using factor analysis;Genetics and Molecular Research;2016

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