Format
Items per page
Sort by

Send to:

Choose Destination

Links from PubMed

Items: 1 to 20 of 92

1.

Biasogram: visualization of confounding technical bias in gene expression data.

Krzystanek M, Szallasi Z, Eklund AC.

PLoS One. 2013 Apr 16;8(4):e61872. doi: 10.1371/journal.pone.0061872. Print 2013.

2.

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.

3.

Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis.

Guo J.

Biostatistics. 2010 Oct;11(4):599-608. doi: 10.1093/biostatistics/kxq023. Epub 2010 May 26.

4.

Gene expression and isoform variation analysis using Affymetrix Exon Arrays.

Bemmo A, Benovoy D, Kwan T, Gaffney DJ, Jensen RV, Majewski J.

BMC Genomics. 2008 Nov 7;9:529. doi: 10.1186/1471-2164-9-529. Erratum in: BMC Genomics. 2009 Mar 23;10. doi: 10.1186/1471-2164-10-121.

5.

Identification and handling of artifactual gene expression profiles emerging in microarray hybridization experiments.

Brodsky L, Leontovich A, Shtutman M, Feinstein E.

Nucleic Acids Res. 2004 Mar 3;32(4):e46.

6.

maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments.

Conesa A, Nueda MJ, Ferrer A, Talón M.

Bioinformatics. 2006 May 1;22(9):1096-102. Epub 2006 Feb 15.

7.

Analysis of variance components in gene expression data.

Chen JJ, Delongchamp RR, Tsai CA, Hsueh HM, Sistare F, Thompson KL, Desai VG, Fuscoe JC.

Bioinformatics. 2004 Jun 12;20(9):1436-46. Epub 2004 Feb 12.

8.

Nonparametric methods for identifying differentially expressed genes in microarray data.

Troyanskaya OG, Garber ME, Brown PO, Botstein D, Altman RB.

Bioinformatics. 2002 Nov;18(11):1454-61.

9.
10.

In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation.

Casneuf T, Van de Peer Y, Huber W.

BMC Bioinformatics. 2007 Nov 26;8:461.

11.

Novel and simple transformation algorithm for combining microarray data sets.

Kim KY, Ki DH, Jeong HJ, Jeung HC, Chung HC, Rha SY.

BMC Bioinformatics. 2007 Jun 25;8:218.

12.

Query large scale microarray compendium datasets using a model-based bayesian approach with variable selection.

Hu M, Qin ZS.

PLoS One. 2009;4(2):e4495. doi: 10.1371/journal.pone.0004495. Epub 2009 Feb 13.

13.

Characterizing dye bias in microarray experiments.

Dobbin KK, Kawasaki ES, Petersen DW, Simon RM.

Bioinformatics. 2005 May 15;21(10):2430-7. Epub 2005 Mar 17.

14.

Partition decoupling for multi-gene analysis of gene expression profiling data.

Braun R, Leibon G, Pauls S, Rockmore D.

BMC Bioinformatics. 2011 Dec 30;12:497. doi: 10.1186/1471-2105-12-497.

15.

Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies.

Teschendorff AE, Zhuang J, Widschwendter M.

Bioinformatics. 2011 Jun 1;27(11):1496-505. doi: 10.1093/bioinformatics/btr171. Epub 2011 Apr 6.

16.

Mining gene expression data by interpreting principal components.

Roden JC, King BW, Trout D, Mortazavi A, Wold BJ, Hart CE.

BMC Bioinformatics. 2006 Apr 7;7:194.

17.

Identifying periodically expressed transcripts in microarray time series data.

Wichert S, Fokianos K, Strimmer K.

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

18.

Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies.

Martini P, Risso D, Sales G, Romualdi C, Lanfranchi G, Cagnin S.

BMC Bioinformatics. 2011 Apr 11;12:92. doi: 10.1186/1471-2105-12-92.

19.

Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation.

Smith DD, Saetrom P, Snøve O Jr, Lundberg C, Rivas GE, Glackin C, Larson GP.

BMC Bioinformatics. 2008 Jan 28;9:63. doi: 10.1186/1471-2105-9-63.

20.

Mapping physiological states from microarray expression measurements.

Stephanopoulos G, Hwang D, Schmitt WA, Misra J, Stephanopoulos G.

Bioinformatics. 2002 Aug;18(8):1054-63.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk