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Items: 1 to 20 of 97


Functional and genetic analysis of the colon cancer network.

Emmert-Streib F, de Matos Simoes R, Glazko G, McDade S, Haibe-Kains B, Holzinger A, Dehmer M, Campbell F.

BMC Bioinformatics. 2014;15 Suppl 6:S6. doi: 10.1186/1471-2105-15-S6-S6. Epub 2014 May 16.


Gene regulatory network from microarray data of colon cancer patients using TSK-type recurrent neural fuzzy network.

Vineetha S, Chandra Shekara Bhat C, Idicula SM.

Gene. 2012 Sep 15;506(2):408-16. doi: 10.1016/j.gene.2012.06.042. Epub 2012 Jul 1.


Large differences in global transcriptional regulatory programs of normal and tumor colon cells.

Cordero D, Solé X, Crous-Bou M, Sanz-Pamplona R, Paré-Brunet L, Guinó E, Olivares D, Berenguer A, Santos C, Salazar R, Biondo S, Moreno V.

BMC Cancer. 2014 Sep 24;14:708. doi: 10.1186/1471-2407-14-708.


Constructing disease-specific gene networks using pair-wise relevance metric: application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements.

Jiang W, Li X, Rao S, Wang L, Du L, Li C, Wu C, Wang H, Wang Y, Yang B.

BMC Syst Biol. 2008 Aug 10;2:72. doi: 10.1186/1752-0509-2-72.


A high resolution genome-wide scan of HNF4α recognition sites infers a regulatory gene network in colon cancer.

Weltmeier F, Borlak J.

PLoS One. 2011;6(7):e21667. doi: 10.1371/journal.pone.0021667. Epub 2011 Jul 28.


Gene Co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis.

Zhang J, Ni S, Xiang Y, Parvin JD, Yang Y, Zhou Y, Huang K.

Int J Comput Biol Drug Des. 2013;6(1-2):60-71. doi: 10.1504/IJCBDD.2013.052202. Epub 2013 Feb 21.


Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data.

de Matos Simoes R, Dalleau S, Williamson KE, Emmert-Streib F.

BMC Syst Biol. 2015 May 14;9:21. doi: 10.1186/s12918-015-0165-z.


A network-based analysis of colon cancer splicing changes reveals a tumorigenesis-favoring regulatory pathway emanating from ELK1.

Hollander D, Donyo M, Atias N, Mekahel K, Melamed Z, Yannai S, Lev-Maor G, Shilo A, Schwartz S, Barshack I, Sharan R, Ast G.

Genome Res. 2016 Apr;26(4):541-53. doi: 10.1101/gr.193169.115. Epub 2016 Feb 9.


A network partition algorithm for mining gene functional modules of colon cancer from DNA microarray data.

Ruan XG, Wang JL, Li JG.

Genomics Proteomics Bioinformatics. 2006 Nov;4(4):245-52.


Modeling microRNA-mRNA interactions using PLS regression in human colon cancer.

Li X, Gill R, Cooper NG, Yoo JK, Datta S.

BMC Med Genomics. 2011 May 19;4:44. doi: 10.1186/1755-8794-4-44.


Computational and experimental approaches for modeling gene regulatory networks.

Goutsias J, Lee NH.

Curr Pharm Des. 2007;13(14):1415-36. Review.


Bagging statistical network inference from large-scale gene expression data.

de Matos Simoes R, Emmert-Streib F.

PLoS One. 2012;7(3):e33624. doi: 10.1371/journal.pone.0033624. Epub 2012 Mar 30.


Classification of colon cancer based on the expression of randomly selected genes.

Tan XH, Cheng R, Hu HP, Bai YP.

Genet Mol Res. 2015 Oct 19;14(4):12628-35. doi: 10.4238/2015.October.19.6.


A factor graph nested effects model to identify networks from genetic perturbations.

Vaske CJ, House C, Luu T, Frank B, Yeang CH, Lee NH, Stuart JM.

PLoS Comput Biol. 2009 Jan;5(1):e1000274. doi: 10.1371/journal.pcbi.1000274. Epub 2009 Jan 30.


Expression-based network biology identifies immune-related functional modules involved in plant defense.

Tully JP, Hill AE, Ahmed HM, Whitley R, Skjellum A, Mukhtar MS.

BMC Genomics. 2014 Jun 3;15:421. doi: 10.1186/1471-2164-15-421.


IRIS: a method for reverse engineering of regulatory relations in gene networks.

Morganella S, Zoppoli P, Ceccarelli M.

BMC Bioinformatics. 2009 Dec 23;10:444. doi: 10.1186/1471-2105-10-444.


Efficient key pathway mining: combining networks and OMICS data.

Alcaraz N, Friedrich T, Kötzing T, Krohmer A, Müller J, Pauling J, Baumbach J.

Integr Biol (Camb). 2012 Jul;4(7):756-64. doi: 10.1039/c2ib00133k. Epub 2012 Feb 21.


Biological and functional analysis of statistically significant pathways deregulated in colon cancer by using gene expression profiles.

Distaso A, Abatangelo L, Maglietta R, Creanza TM, Piepoli A, Carella M, D'Addabbo A, Ancona N.

Int J Biol Sci. 2008;4(6):368-78. Epub 2008 Oct 14.


The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks.

Emmert-Streib F, de Matos Simoes R, Mullan P, Haibe-Kains B, Dehmer M.

Front Genet. 2014 Feb 3;5:15. doi: 10.3389/fgene.2014.00015. eCollection 2014.


Enrichment map: a network-based method for gene-set enrichment visualization and interpretation.

Merico D, Isserlin R, Stueker O, Emili A, Bader GD.

PLoS One. 2010 Nov 15;5(11):e13984. doi: 10.1371/journal.pone.0013984.

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