SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data-Reference-Cited by-同舟云学术

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SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data

Published:2018-03 Issue:S2 Volume:12 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

Belorkar Abha,Vadigepalli Rajanikanth,Wong Limsoon

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modelling and Simulation,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12918-018-0538-1.pdf

Reference23 articles.

1. Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, et al. Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature. 2000; 403(6769):503–11.

2. Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, Van De Rijn M, Jeffrey SS, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001; 98(19):10869–74.

3. Marisa L, de Reyniès A, Duval A, Selves J, Gaub MP, Vescovo L, Etienne-Grimaldi M-C, Schiappa R, Guenot D, Ayadi M, et al. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value. PLoS Med. 2013; 10(5):1001453.

4. Baines KJ, Simpson JL, Wood LG, Scott RJ, Gibson PG. Transcriptional phenotypes of asthma defined by gene expression profiling of induced sputum samples. J Allergy Clin Immunol. 2011; 127(1):153–60.

5. Zhang M, Zhang L, Zou J, Yao C, Xiao H, Liu Q, Wang J, Wang D, Wang C, Guo Z. Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes. Bioinformatics. 2009; 25(13):1662–8.

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