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Results: 1 to 20 of 51

1.

GENESHIFT: a Non-Parametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure Between the Distributions of Genes.

Lazar C, Taminau J, Meganck S, Steenhoff D, Coletta A, Weiss Solis DY, Molter C, Duque R, Bersini H, Nowe A.

IEEE/ACM Trans Comput Biol Bioinform. 2013 Feb 20. [Epub ahead of print]

PMID:
23439220
[PubMed - as supplied by publisher]
2.

GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genes.

Lazar C, Taminau J, Meganck S, Steenhoff D, Coletta A, Solís DY, Molter C, Duque R, Bersini H, Nowé A.

IEEE/ACM Trans Comput Biol Bioinform. 2013 Mar-Apr;10(2):383-92. doi: 10.1109/TCBB.2013.12.

PMID:
23929862
[PubMed - indexed for MEDLINE]
3.

Metric for measuring the effectiveness of clustering of DNA microarray expression.

Loganantharaj R, Cheepala S, Clifford J.

BMC Bioinformatics. 2006 Sep 6;7 Suppl 2:S5.

PMID:
17118148
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

Challenges in projecting clustering results across gene expression-profiling datasets.

Lusa L, McShane LM, Reid JF, De Cecco L, Ambrogi F, Biganzoli E, Gariboldi M, Pierotti MA.

J Natl Cancer Inst. 2007 Nov 21;99(22):1715-23. Epub 2007 Nov 13.

PMID:
18000217
[PubMed - indexed for MEDLINE]
Free Article
5.
6.

Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.

Breitling R, Herzyk P.

J Bioinform Comput Biol. 2005 Oct;3(5):1171-89.

PMID:
16278953
[PubMed - indexed for MEDLINE]
7.

Speeding up the Consensus Clustering methodology for microarray data analysis.

Giancarlo R, Utro F.

Algorithms Mol Biol. 2011 Jan 14;6(1):1. doi: 10.1186/1748-7188-6-1.

PMID:
21235792
[PubMed]
Free PMC Article
8.

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.

PMID:
18578891
[PubMed]
Free PMC Article
9.

Mixture classification model based on clinical markers for breast cancer prognosis.

Zeng T, Liu J.

Artif Intell Med. 2010 Feb-Mar;48(2-3):129-37. doi: 10.1016/j.artmed.2009.07.008. Epub 2009 Dec 14.

PMID:
20005686
[PubMed - indexed for MEDLINE]
10.

YuGene: a simple approach to scale gene expression data derived from different platforms for integrated analyses.

Lê Cao KA, Rohart F, McHugh L, Korn O, Wells CA.

Genomics. 2014 Apr;103(4):239-51. doi: 10.1016/j.ygeno.2014.03.001. Epub 2014 Mar 22.

PMID:
24667244
[PubMed - in process]
11.

[Meta-analysis of the Italian studies on short-term effects of air pollution].

Biggeri A, Bellini P, Terracini B; Italian MISA Group.

Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71. Italian.

PMID:
11515188
[PubMed - indexed for MEDLINE]
12.

Adjusting batch effects in microarray expression data using empirical Bayes methods.

Johnson WE, Li C, Rabinovic A.

Biostatistics. 2007 Jan;8(1):118-27. Epub 2006 Apr 21.

PMID:
16632515
[PubMed - indexed for MEDLINE]
Free Article
13.

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]
Free PMC Article
14.

Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.

Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.

BJU Int. 2011 Jul;108(2 Pt 2):E29-35. doi: 10.1111/j.1464-410X.2010.09794.x. Epub 2011 Mar 16.

PMID:
21435154
[PubMed - indexed for MEDLINE]
15.

Integration of gene signatures using biological knowledge.

Blazadonakis ME, Zervakis ME, Kafetzopoulos D.

Artif Intell Med. 2011 Sep;53(1):57-71. doi: 10.1016/j.artmed.2011.06.003. Epub 2011 Jul 20.

PMID:
21767937
[PubMed - indexed for MEDLINE]
16.

The productivity of mental health care: an instrumental variable approach.

Lu M.

J Ment Health Policy Econ. 1999 Jun 1;2(2):59-71.

PMID:
11967410
[PubMed - as supplied by publisher]
17.

Borrowing information across genes and experiments for improved error variance estimation in microarray data analysis.

Ji T, Liu P, Nettleton D.

Stat Appl Genet Mol Biol. 2012;11(3):Article 12.

PMID:
22611597
[PubMed - indexed for MEDLINE]
18.

Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients.

Walker WL, Liao IH, Gilbert DL, Wong B, Pollard KS, McCulloch CE, Lit L, Sharp FR.

BMC Genomics. 2008 Oct 20;9:494. doi: 10.1186/1471-2164-9-494.

PMID:
18937867
[PubMed - indexed for MEDLINE]
Free PMC Article
19.

Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data.

Pelz CR, Kulesz-Martin M, Bagby G, Sears RC.

BMC Bioinformatics. 2008 Dec 4;9:520. doi: 10.1186/1471-2105-9-520.

PMID:
19055840
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Integrative disease classification based on cross-platform microarray data.

Liu CC, Hu J, Kalakrishnan M, Huang H, Zhou XJ.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S25. doi: 10.1186/1471-2105-10-S1-S25.

PMID:
19208125
[PubMed - indexed for MEDLINE]
Free PMC Article

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