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Items: 1 to 20 of 149

1.

Atlas of signaling for interpretation of microarray experiments.

Kotelnikova E, Ivanikova N, Kalinin A, Yuryev A, Daraselia N.

PLoS One. 2010 Feb 17;5(2):e9256. doi: 10.1371/journal.pone.0009256.

2.

Pathways to the analysis of microarray data.

Curtis RK, Oresic M, Vidal-Puig A.

Trends Biotechnol. 2005 Aug;23(8):429-35. Review.

PMID:
15950303
3.

Inferring gene regulatory networks from multiple microarray datasets.

Wang Y, Joshi T, Zhang XS, Xu D, Chen L.

Bioinformatics. 2006 Oct 1;22(19):2413-20.

5.

Accurate detection of aneuploidies in array CGH and gene expression microarray data.

Myers CL, Dunham MJ, Kung SY, Troyanskaya OG.

Bioinformatics. 2004 Dec 12;20(18):3533-43.

6.

Gene co-expression network topology provides a framework for molecular characterization of cellular state.

Carter SL, Brechbühler CM, Griffin M, Bond AT.

Bioinformatics. 2004 Sep 22;20(14):2242-50.

7.

A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells.

Niida A, Imoto S, Nagasaki M, Yamaguchi R, Miyano S.

Genome Inform. 2010 Jan;22:121-31.

PMID:
20238423
8.

Methods for evaluating gene expression from Affymetrix microarray datasets.

Jiang N, Leach LJ, Hu X, Potokina E, Jia T, Druka A, Waugh R, Kearsey MJ, Luo ZW.

BMC Bioinformatics. 2008 Jun 17;9:284. doi: 10.1186/1471-2105-9-284.

9.

Knowledge-guided multi-scale independent component analysis for biomarker identification.

Chen L, Xuan J, Wang C, Shih IeM, Wang Y, Zhang Z, Hoffman E, Clarke R.

BMC Bioinformatics. 2008 Oct 6;9:416. doi: 10.1186/1471-2105-9-416.

10.

Identifying periodically expressed transcripts in microarray time series data.

Wichert S, Fokianos K, Strimmer K.

Bioinformatics. 2004 Jan 1;20(1):5-20.

11.
12.

Practical FDR-based sample size calculations in microarray experiments.

Hu J, Zou F, Wright FA.

Bioinformatics. 2005 Aug 1;21(15):3264-72.

13.

Noise-robust soft clustering of gene expression time-course data.

Futschik ME, Carlisle B.

J Bioinform Comput Biol. 2005 Aug;3(4):965-88.

PMID:
16078370
14.

Molecular fingerprinting of TGFbeta-treated embryonic maxillary mesenchymal cells.

Pisano MM, Mukhopadhyay P, Greene RM.

Orthod Craniofac Res. 2003 Nov;6(4):194-209.

PMID:
14606523
15.
16.

D-Serine exposure resulted in gene expression changes implicated in neurodegenerative disorders and neuronal dysfunction in male Fischer 344 rats.

Davidson ME, Kerepesi LA, Soto A, Chan VT.

Arch Toxicol. 2009 Aug;83(8):747-62. doi: 10.1007/s00204-009-0405-3.

PMID:
19212759
17.

TranscriptomeBrowser: a powerful and flexible toolbox to explore productively the transcriptional landscape of the Gene Expression Omnibus database.

Lopez F, Textoris J, Bergon A, Didier G, Remy E, Granjeaud S, Imbert J, Nguyen C, Puthier D.

PLoS One. 2008;3(12):e4001. doi: 10.1371/journal.pone.0004001.

18.

CLEAR-test: combining inference for differential expression and variability in microarray data analysis.

Valls J, Grau M, Solé X, Hernández P, Montaner D, Dopazo J, Peinado MA, Capellá G, Moreno V, Pujana MA.

J Biomed Inform. 2008 Feb;41(1):33-45.

19.

Dynamic covariation between gene expression and proteome characteristics.

Sharabiani MT, Siermala M, Lehtinen TO, Vihinen M.

BMC Bioinformatics. 2005 Aug 30;6:215.

20.

Molecular networks in microarray analysis.

Sivachenko AY, Yuryev A, Daraselia N, Mazo I.

J Bioinform Comput Biol. 2007 Apr;5(2B):429-56. Review.

PMID:
17636854
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