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Items: 1 to 20 of 191


Mechanisms of mutational robustness in transcriptional regulation.

Payne JL, Wagner A.

Front Genet. 2015 Oct 27;6:322. eCollection 2015. Review.


TRRUST: a reference database of human transcriptional regulatory interactions.

Han H, Shim H, Shin D, Shim JE, Ko Y, Shin J, Kim H, Cho A, Kim E, Lee T, Kim H, Kim K, Yang S, Bae D, Yun A, Kim S, Kim CY, Cho HJ, Kang B, Shin S, Lee I.

Sci Rep. 2015 Jun 12;5:11432. doi: 10.1038/srep11432.


cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism.

Reiss DJ, Plaisier CL, Wu WJ, Baliga NS.

Nucleic Acids Res. 2015 Jul 27;43(13):e87. doi: 10.1093/nar/gkv300. Epub 2015 Apr 14.


Diverse array-designed modes of combination therapies in Fangjiomics.

Liu J, Wang Z.

Acta Pharmacol Sin. 2015 Jun;36(6):680-8. doi: 10.1038/aps.2014.125. Epub 2015 Apr 13. Review.


Analysis of miRNA expression profiles in breast cancer using biclustering.

Fiannaca A, La Rosa M, La Paglia L, Rizzo R, Urso A.

BMC Bioinformatics. 2015;16 Suppl 4:S7. doi: 10.1186/1471-2105-16-S4-S7. Epub 2015 Feb 23.


Multifarious assembly mixtures: systems allowing retrieval of diverse stored structures.

Murugan A, Zeravcic Z, Brenner MP, Leibler S.

Proc Natl Acad Sci U S A. 2015 Jan 6;112(1):54-9. doi: 10.1073/pnas.1413941112. Epub 2014 Dec 22.


Ensemble-based network aggregation improves the accuracy of gene network reconstruction.

Zhong R, Allen JD, Xiao G, Xie Y.

PLoS One. 2014 Nov 12;9(11):e106319. doi: 10.1371/journal.pone.0106319. eCollection 2014.


eMBI: Boosting Gene Expression-based Clustering for Cancer Subtypes.

Chang Z, Wang Z, Ashby C, Zhou C, Li G, Zhang S, Huang X.

Cancer Inform. 2014 Oct 21;13(Suppl 2):105-12. doi: 10.4137/CIN.S13777. eCollection 2014.


Characterization of chemically induced liver injuries using gene co-expression modules.

Tawa GJ, AbdulHameed MD, Yu X, Kumar K, Ippolito DL, Lewis JA, Stallings JD, Wallqvist A.

PLoS One. 2014 Sep 16;9(9):e107230. doi: 10.1371/journal.pone.0107230. eCollection 2014.


Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population.

Wu Y, Williams EG, Dubuis S, Mottis A, Jovaisaite V, Houten SM, Argmann CA, Faridi P, Wolski W, Kutalik Z, Zamboni N, Auwerx J, Aebersold R.

Cell. 2014 Sep 11;158(6):1415-30. doi: 10.1016/j.cell.2014.07.039.


biDCG: a new method for discovering global features of DNA microarray data via an iterative re-clustering procedure.

Chen CP, Fushing H, Atwill R, Koehl P.

PLoS One. 2014 Jul 21;9(7):e102445. doi: 10.1371/journal.pone.0102445. eCollection 2014.


Divergence and selectivity of expression-coupled histone modifications in budding yeasts.

Mosesson Y, Voichek Y, Barkai N.

PLoS One. 2014 Jul 9;9(7):e101538. doi: 10.1371/journal.pone.0101538. eCollection 2014.


Biclustering methods: biological relevance and application in gene expression analysis.

Oghabian A, Kilpinen S, Hautaniemi S, Czeizler E.

PLoS One. 2014 Mar 20;9(3):e90801. doi: 10.1371/journal.pone.0090801. eCollection 2014.


Inferring transcription factor collaborations in gene regulatory networks.

Awad S, Chen J.

BMC Syst Biol. 2014;8 Suppl 1:S1. doi: 10.1186/1752-0509-8-S1-S1. Epub 2014 Jan 24.


RMaNI: Regulatory Module Network Inference framework.

Madhamshettiwar PB, Maetschke SR, Davis MJ, Ragan MA.

BMC Bioinformatics. 2013;14 Suppl 16:S14. doi: 10.1186/1471-2105-14-S16-S14. Epub 2013 Oct 22.


Coordination of gene expression and growth-rate in natural populations of budding yeast.

Tamari Z, Rosin D, Voichek Y, Barkai N.

PLoS One. 2014 Feb 12;9(2):e88801. doi: 10.1371/journal.pone.0088801. eCollection 2014.


Inferring the relation between transcriptional and posttranscriptional regulation from expression compendia.

Ishchukov I, Wu Y, Van Puyvelde S, Vanderleyden J, Marchal K.

BMC Microbiol. 2014 Jan 27;14:14. doi: 10.1186/1471-2180-14-14.


Understanding system dynamics of an adaptive enzyme network from globally profiled kinetic parameters.

Chiang AW, Liu WC, Charusanti P, Hwang MJ.

BMC Syst Biol. 2014 Jan 15;8:4. doi: 10.1186/1752-0509-8-4.


Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics.

Sirinukunwattana K, Savage RS, Bari MF, Snead DR, Rajpoot NM.

PLoS One. 2013 Oct 23;8(10):e75748. doi: 10.1371/journal.pone.0075748. eCollection 2013.


Promoters maintain their relative activity levels under different growth conditions.

Keren L, Zackay O, Lotan-Pompan M, Barenholz U, Dekel E, Sasson V, Aidelberg G, Bren A, Zeevi D, Weinberger A, Alon U, Milo R, Segal E.

Mol Syst Biol. 2013 Oct 29;9:701. doi: 10.1038/msb.2013.59.

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