Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 77

1.

Efficiency analysis of competing tests for finding differentially expressed genes in lung adenocarcinoma.

Jordan R, Patel S, Hu H, Lyons-Weiler J.

Cancer Inform. 2008;6:389-421. Epub 2008 Jul 14.

2.

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments.

Sartor MA, Tomlinson CR, Wesselkamper SC, Sivaganesan S, Leikauf GD, Medvedovic M.

BMC Bioinformatics. 2006 Dec 19;7:538.

3.
4.

caGEDA: a web application for the integrated analysis of global gene expression patterns in cancer.

Patel S, Lyons-Weiler J.

Appl Bioinformatics. 2004;3(1):49-62.

PMID:
16323966
5.

A weighted average difference method for detecting differentially expressed genes from microarray data.

Kadota K, Nakai Y, Shimizu K.

Algorithms Mol Biol. 2008 Jun 26;3:8. doi: 10.1186/1748-7188-3-8.

6.

Empirical Bayes screening of many p-values with applications to microarray studies.

Datta S, Datta S.

Bioinformatics. 2005 May 1;21(9):1987-94. Epub 2005 Feb 2.

PMID:
15691856
8.

An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.

Datta S, Satten GA, Benos DJ, Xia J, Heslin MJ, Datta S.

Bioinformatics. 2004 Jan 22;20(2):235-42.

PMID:
14734315
9.

A sequence-based approach to identify reference genes for gene expression analysis.

Chari R, Lonergan KM, Pikor LA, Coe BP, Zhu CQ, Chan TH, MacAulay CE, Tsao MS, Lam S, Ng RT, Lam WL.

BMC Med Genomics. 2010 Aug 3;3:32. doi: 10.1186/1755-8794-3-32.

10.

Finding differentially expressed genes in two-channel DNA microarray datasets: how to increase reliability of data preprocessing.

Rotter A, Hren M, Baebler S, Blejec A, Gruden K.

OMICS. 2008 Sep;12(3):171-82. doi: 10.1089/omi.2008.0032.

11.

The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison.

Sioson AA, Mane SP, Li P, Sha W, Heath LS, Bohnert HJ, Grene R.

BMC Bioinformatics. 2006 Apr 20;7:215.

12.

A comparative study of different machine learning methods on microarray gene expression data.

Pirooznia M, Yang JY, Yang MQ, Deng Y.

BMC Genomics. 2008;9 Suppl 1:S13. doi: 10.1186/1471-2164-9-S1-S13.

13.

Mining differential top-k co-expression patterns from time course comparative gene expression datasets.

Liu YC, Cheng CP, Tseng VS.

BMC Bioinformatics. 2013 Jul 21;14:230. doi: 10.1186/1471-2105-14-230.

14.

Arrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.

Silva-Fortes C, Amaral Turkman MA, Sousa L.

BMC Bioinformatics. 2012 Jun 26;13:147. doi: 10.1186/1471-2105-13-147.

15.

MetTailor: dynamic block summary and intensity normalization for robust analysis of mass spectrometry data in metabolomics.

Chen G, Cui L, Teo GS, Ong CN, Tan CS, Choi H.

Bioinformatics. 2015 Nov 15;31(22):3645-52. doi: 10.1093/bioinformatics/btv434. Epub 2015 Jul 27.

PMID:
26220962
16.

Group testing for pathway analysis improves comparability of different microarray datasets.

Manoli T, Gretz N, Gröne HJ, Kenzelmann M, Eils R, Brors B.

Bioinformatics. 2006 Oct 15;22(20):2500-6. Epub 2006 Aug 7.

PMID:
16895928
17.

Distributional fold change test - a statistical approach for detecting differential expression in microarray experiments.

Farztdinov V, McDyer F.

Algorithms Mol Biol. 2012 Nov 2;7(1):29. doi: 10.1186/1748-7188-7-29.

18.

Regulatory motif finding by logic regression.

Keles S, van der Laan MJ, Vulpe C.

Bioinformatics. 2004 Nov 1;20(16):2799-811. Epub 2004 May 27.

PMID:
15166027
19.

A robust tool for discriminative analysis and feature selection in paired samples impacts the identification of the genes essential for reprogramming lung tissue to adenocarcinoma.

Toh SH, Prathipati P, Motakis E, Kwoh CK, Yenamandra SP, Kuznetsov VA.

BMC Genomics. 2011 Nov 30;12 Suppl 3:S24. doi: 10.1186/1471-2164-12-S3-S24. Epub 2011 Nov 30.

20.

Effect of data normalization on fuzzy clustering of DNA microarray data.

Kim SY, Lee JW, Bae JS.

BMC Bioinformatics. 2006 Mar 14;7:134.

Supplemental Content

Support Center