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Items: 1 to 20 of 139

1.

A random variance model for detection of differential gene expression in small microarray experiments.

Wright GW, Simon RM.

Bioinformatics. 2003 Dec 12;19(18):2448-55.

PMID:
14668230
2.

Effects of pooling mRNA in microarray class comparisons.

Shih JH, Michalowska AM, Dobbin K, Ye Y, Qiu TH, Green JE.

Bioinformatics. 2004 Dec 12;20(18):3318-25. Epub 2004 Jul 9.

PMID:
15247103
3.

Non-negative matrix factorization of gene expression profiles: a plug-in for BRB-ArrayTools.

Qi Q, Zhao Y, Li M, Simon R.

Bioinformatics. 2009 Feb 15;25(4):545-7. doi: 10.1093/bioinformatics/btp009. Epub 2009 Jan 8.

PMID:
19131367
4.

Microarray data analysis: a hierarchical T-test to handle heteroscedasticity.

de Menezes RX, Boer JM, van Houwelingen HC.

Appl Bioinformatics. 2004;3(4):229-35.

PMID:
15702953
5.

Bayesian mixture model based clustering of replicated microarray data.

Medvedovic M, Yeung KY, Bumgarner RE.

Bioinformatics. 2004 May 22;20(8):1222-32. Epub 2004 Feb 10.

PMID:
14871871
6.

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.

PMID:
14962916
7.

A statistical framework for the design of microarray experiments and effective detection of differential gene expression.

Zhang SD, Gant TW.

Bioinformatics. 2004 Nov 1;20(16):2821-8. Epub 2004 Jun 4.

PMID:
15180939
8.

Gene Set Expression Comparison kit for BRB-ArrayTools.

Xu X, Zhao Y, Simon R.

Bioinformatics. 2008 Jan 1;24(1):137-9. Epub 2007 Nov 15.

PMID:
18006549
9.

Unequal group variances in microarray data analyses.

Demissie M, Mascialino B, Calza S, Pawitan Y.

Bioinformatics. 2008 May 1;24(9):1168-74. doi: 10.1093/bioinformatics/btn100. Epub 2008 Mar 14.

PMID:
18344518
10.

Prediction error estimation: a comparison of resampling methods.

Molinaro AM, Simon R, Pfeiffer RM.

Bioinformatics. 2005 Aug 1;21(15):3301-7. Epub 2005 May 19.

PMID:
15905277
11.

Rosetta error model for gene expression analysis.

Weng L, Dai H, Zhan Y, He Y, Stepaniants SB, Bassett DE.

Bioinformatics. 2006 May 1;22(9):1111-21. Epub 2006 Mar 7.

PMID:
16522673
12.
13.

Multidimensional local false discovery rate for microarray studies.

Ploner A, Calza S, Gusnanto A, Pawitan Y.

Bioinformatics. 2006 Mar 1;22(5):556-65. Epub 2005 Dec 20.

PMID:
16368770
14.

Identifying periodically expressed transcripts in microarray time series data.

Wichert S, Fokianos K, Strimmer K.

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

PMID:
14693803
15.

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.

16.

Flexible empirical Bayes models for differential gene expression.

Lo K, Gottardo R.

Bioinformatics. 2007 Feb 1;23(3):328-35. Epub 2006 Nov 30.

PMID:
17138586
17.

An associative analysis of gene expression array data.

Dozmorov I, Centola M.

Bioinformatics. 2003 Jan 22;19(2):204-11.

PMID:
12538240
18.

Improving missing value estimation in microarray data with gene ontology.

Tuikkala J, Elo L, Nevalainen OS, Aittokallio T.

Bioinformatics. 2006 Mar 1;22(5):566-72. Epub 2005 Dec 23.

PMID:
16377613
19.

Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data.

Inoue M, Nishimura S, Hori G, Nakahara H, Saito M, Yoshihara Y, Amari S.

J Bioinform Comput Biol. 2004 Dec;2(4):669-79.

PMID:
15617160
20.

Noise sampling method: an ANOVA approach allowing robust selection of differentially regulated genes measured by DNA microarrays.

Draghici S, Kulaeva O, Hoff B, Petrov A, Shams S, Tainsky MA.

Bioinformatics. 2003 Jul 22;19(11):1348-59.

PMID:
12874046

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