Your browser version may not work well with NCBI's Web applications. More information here...

Recent Activity

Items 1 - 20 of 136
of 7Next
1:

Statistical methods for ranking differentially expressed genes.

Broberg P.

Genome Biol. 2003;4(6):R41. Epub 2003 May 29.

PMID: 12801415 [PubMed - indexed for MEDLINE]

2:

Normal uniform mixture differential gene expression detection for cDNA microarrays.

Dean N, Raftery AE.

BMC Bioinformatics. 2005 Jul 12;6:173.

PMID: 16011807 [PubMed - indexed for MEDLINE]

3:

Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.

Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S.

BMC Bioinformatics. 2005 Feb 10;6:26.

PMID: 15705192 [PubMed - indexed for MEDLINE]

4:

Ranking genes with respect to differential expression.

Broberg P.

Genome Biol. 2002 Aug 5;3(9):preprint0007. Epub 2002 Aug 5.

PMID: 12225577 [PubMed - indexed for MEDLINE]

5:

A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data.

Xie Y, Pan W, Khodursky AB.

Bioinformatics. 2005 Dec 1;21(23):4280-8. Epub 2005 Sep 27.

PMID: 16188930 [PubMed - indexed for MEDLINE]

6:

A mixture model for estimating the local false discovery rate in DNA microarray analysis.

Liao JG, Lin Y, Selvanayagam ZE, Shih WJ.

Bioinformatics. 2004 Nov 1;20(16):2694-701. Epub 2004 May 14.

PMID: 15145810 [PubMed - indexed for MEDLINE]

7:

Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

Jeffery IB, Higgins DG, Culhane AC.

BMC Bioinformatics. 2006 Jul 26;7:359.

PMID: 16872483 [PubMed - indexed for MEDLINE]

8:

A quantization method based on threshold optimization for microarray short time series.

Di Camillo B, Sanchez-Cabo F, Toffolo G, Nair SK, Trajanoski Z, Cobelli C.

BMC Bioinformatics. 2005 Dec 1;6 Suppl 4:S11.

PMID: 16351737 [PubMed - indexed for MEDLINE]

9:

Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data.

Jain N, Cho H, O'Connell M, Lee JK.

BMC Bioinformatics. 2005 Jul 22;6:187.

PMID: 16042779 [PubMed - indexed for MEDLINE]

10:

Differential analysis of DNA microarray gene expression data.

Hatfield GW, Hung SP, Baldi P.

Mol Microbiol. 2003 Feb;47(4):871-7. Review.

PMID: 12581345 [PubMed - indexed for MEDLINE]

11:

Approaches to reduce false positives and false negatives in the analysis of microarray data: applications in type 1 diabetes research.

Wu J, Lenchik NI, Gerling IC.

BMC Genomics. 2008 Sep 16;9 Suppl 2:S12.

PMID: 18831777 [PubMed - indexed for MEDLINE]

12:

Comparison of false discovery rate methods in identifying genes with differential expression.

Qian HR, Huang S.

Genomics. 2005 Oct;86(4):495-503.

PMID: 16054333 [PubMed - indexed for MEDLINE]

13:

Bayesian normalization and identification for differential gene expression data.

Zhang D, Wells MT, Smart CD, Fry WE.

J Comput Biol. 2005 May;12(4):391-406. Review.

PMID: 15882138 [PubMed - indexed for MEDLINE]

14:

A power law global error model for the identification of differentially expressed genes in microarray data.

Pavelka N, Pelizzola M, Vizzardelli C, Capozzoli M, Splendiani A, Granucci F, Ricciardi-Castagnoli P.

BMC Bioinformatics. 2004 Dec 17;5:203.

PMID: 15606915 [PubMed - indexed for MEDLINE]

15:

Modified nonparametric approaches to detecting differentially expressed genes in replicated microarray experiments.

Zhao Y, Pan W.

Bioinformatics. 2003 Jun 12;19(9):1046-54.

PMID: 12801864 [PubMed - indexed for MEDLINE]

16:

Sex genes for genomic analysis in human brain: internal controls for comparison of probe level data extraction.

Galfalvy HC, Erraji-Benchekroun L, Smyrniotopoulos P, Pavlidis P, Ellis SP, Mann JJ, Sibille E, Arango V.

BMC Bioinformatics. 2003 Sep 8;4:37. Epub 2003 Sep 8.

PMID: 12962547 [PubMed - indexed for MEDLINE]

17:

A spline function approach for detecting differentially expressed genes in microarray data analysis.

He W.

Bioinformatics. 2004 Nov 22;20(17):2954-63. Epub 2004 Jun 4.

PMID: 15180936 [PubMed - indexed for MEDLINE]

18:

On the use of permutation in and the performance of a class of nonparametric methods to detect differential gene expression.

Pan W.

Bioinformatics. 2003 Jul 22;19(11):1333-40.

PMID: 12874044 [PubMed - indexed for MEDLINE]

19:

Cross-platform comparison and visualisation of gene expression data using co-inertia analysis.

Culhane AC, Perrière G, Higgins DG.

BMC Bioinformatics. 2003 Nov 21;4:59.

PMID: 14633289 [PubMed - indexed for MEDLINE]

20:

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.

PMID: 17177995 [PubMed - indexed for MEDLINE]

Items 1 - 20 of 136
of 7Next