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Items: 1 to 20 of 46

1.

Detecting multivariate differentially expressed genes.

Nilsson R, Peña JM, Björkegren J, Tegnér J.

BMC Bioinformatics. 2007 May 9;8:150.

2.

A resampling-based meta-analysis for detection of differential gene expression in breast cancer.

Gur-Dedeoglu B, Konu O, Kir S, Ozturk AR, Bozkurt B, Ergul G, Yulug IG.

BMC Cancer. 2008 Dec 30;8:396. doi: 10.1186/1471-2407-8-396.

3.

Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis.

Nettleton D, Recknor J, Reecy JM.

Bioinformatics. 2008 Jan 15;24(2):192-201. Epub 2007 Nov 27.

PMID:
18042553
4.

Identifying set-wise differential co-expression in gene expression microarray data.

Cho SB, Kim J, Kim JH.

BMC Bioinformatics. 2009 Apr 16;10:109. doi: 10.1186/1471-2105-10-109.

5.

A novel approach to detect differentially expressed genes from count-based digital databases by normalizing with housekeeping genes.

Lü B, Yu J, Xu J, Chen J, Lai M.

Genomics. 2009 Sep;94(3):211-6. doi: 10.1016/j.ygeno.2009.05.003. Epub 2009 May 13.

6.

Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks.

Reverter A, Chan EK.

Bioinformatics. 2008 Nov 1;24(21):2491-7. doi: 10.1093/bioinformatics/btn482. Epub 2008 Sep 10.

PMID:
18784117
7.

Application of Multi-SOM clustering approach to macrophage gene expression analysis.

Ghouila A, Yahia SB, Malouche D, Jmel H, Laouini D, Guerfali FZ, Abdelhak S.

Infect Genet Evol. 2009 May;9(3):328-36. doi: 10.1016/j.meegid.2008.09.009. Epub 2008 Oct 17.

PMID:
18992849
8.

Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution.

Moretti S, van Leeuwen D, Gmuender H, Bonassi S, van Delft J, Kleinjans J, Patrone F, Merlo DF.

BMC Bioinformatics. 2008 Sep 2;9:361. doi: 10.1186/1471-2105-9-361.

9.

Stability of gene contributions and identification of outliers in multivariate analysis of microarray data.

Baty F, Jaeger D, Preiswerk F, Schumacher MM, Brutsche MH.

BMC Bioinformatics. 2008 Jun 20;9:289. doi: 10.1186/1471-2105-9-289.

10.

Identification of differential gene expression for microarray data using recursive random forest.

Wu XY, Wu ZY, Li K.

Chin Med J (Engl). 2008 Dec 20;121(24):2492-6.

PMID:
19187584
11.

Multivariate analysis of variance test for gene set analysis.

Tsai CA, Chen JJ.

Bioinformatics. 2009 Apr 1;25(7):897-903. doi: 10.1093/bioinformatics/btp098. Epub 2009 Mar 2.

PMID:
19254923
12.

Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data.

Chen JJ, Hsueh HM, Delongchamp RR, Lin CJ, Tsai CA.

BMC Bioinformatics. 2007 Oct 25;8:412.

13.

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.

De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E.

Neuroimage. 2008 Oct 15;43(1):44-58. doi: 10.1016/j.neuroimage.2008.06.037. Epub 2008 Jul 11.

PMID:
18672070
14.

Human gene coexpression landscape: confident network derived from tissue transcriptomic profiles.

Prieto C, Risueño A, Fontanillo C, De las Rivas J.

PLoS One. 2008;3(12):e3911. doi: 10.1371/journal.pone.0003911. Epub 2008 Dec 15.

15.

Ablation of Stat3 by siRNA alters gene expression profiles in JEG-3 cells: a systems biology approach.

Jiang K, Krous LC, Knowlton N, Chen Y, Frank MB, Cadwell C, Centola M, Jarvis JN.

Placenta. 2009 Sep;30(9):806-15. doi: 10.1016/j.placenta.2009.06.006. Epub 2009 Jul 18.

PMID:
19616846
16.

A multivariate analysis approach to the integration of proteomic and gene expression data.

Fagan A, Culhane AC, Higgins DG.

Proteomics. 2007 Jun;7(13):2162-71.

PMID:
17549791
17.

Biclustering of microarray data with MOSPO based on crowding distance.

Liu J, Li Z, Hu X, Chen Y.

BMC Bioinformatics. 2009 Apr 29;10 Suppl 4:S9. doi: 10.1186/1471-2105-10-S4-S9.

18.

On reliable discovery of molecular signatures.

Nilsson R, Björkegren J, Tegnér J.

BMC Bioinformatics. 2009 Jan 29;10:38. doi: 10.1186/1471-2105-10-38.

19.

Identification of differentially expressed genes by meta-analysis of microarray data on breast cancer.

Kondrakhin YV, Sharipov RN, Keld AE, Kolpakov FA.

In Silico Biol. 2008;8(5-6):383-411.

PMID:
19374127
20.

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. Epub 2007 May 17.

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