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Items: 1 to 20 of 120

1.

ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking.

Wilkerson MD, Hayes DN.

Bioinformatics. 2010 Jun 15;26(12):1572-3. doi: 10.1093/bioinformatics/btq170. Epub 2010 Apr 28.

2.

ConsensusCluster: a software tool for unsupervised cluster discovery in numerical data.

Seiler M, Huang CC, Szalma S, Bhanot G.

OMICS. 2010 Feb;14(1):109-13. doi: 10.1089/omi.2009.0083.

PMID:
20141333
3.

mAPKL: R/ Bioconductor package for detecting gene exemplars and revealing their characteristics.

Sakellariou A, Spyrou G.

BMC Bioinformatics. 2015 Sep 15;16:291. doi: 10.1186/s12859-015-0719-5.

4.

twilight; a Bioconductor package for estimating the local false discovery rate.

Scheid S, Spang R.

Bioinformatics. 2005 Jun 15;21(12):2921-2. Epub 2005 Apr 7.

PMID:
15817688
5.
6.

Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.

Seo J, Bakay M, Chen YW, Hilmer S, Shneiderman B, Hoffman EP.

Bioinformatics. 2004 Nov 1;20(16):2534-44. Epub 2004 Apr 29.

PMID:
15117752
7.

Analyzing gene perturbation screens with nested effects models in R and bioconductor.

Fröhlich H, Beissbarth T, Tresch A, Kostka D, Jacob J, Spang R, Markowetz F.

Bioinformatics. 2008 Nov 1;24(21):2549-50. doi: 10.1093/bioinformatics/btn446. Epub 2008 Aug 21.

8.

SC²ATmd: a tool for integration of the figure of merit with cluster analysis for gene expression data.

Olex AL, Fetrow JS.

Bioinformatics. 2011 May 1;27(9):1330-1. doi: 10.1093/bioinformatics/btr115. Epub 2011 Mar 3.

9.

BioTextQuest(+): a knowledge integration platform for literature mining and concept discovery.

Papanikolaou N, Pavlopoulos GA, Pafilis E, Theodosiou T, Schneider R, Satagopam VP, Ouzounis CA, Eliopoulos AG, Promponas VJ, Iliopoulos I.

Bioinformatics. 2014 Nov 15;30(22):3249-56. doi: 10.1093/bioinformatics/btu524. Epub 2014 Aug 6. Erratum in: Bioinformatics. 2015 Mar 15;31(6):979.

PMID:
25100685
10.

Visualization-based cancer microarray data classification analysis.

Mramor M, Leban G, Demsar J, Zupan B.

Bioinformatics. 2007 Aug 15;23(16):2147-54. Epub 2007 Jun 22.

PMID:
17586552
11.

BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network.

Otegui J, Ariño AH.

Bioinformatics. 2012 Aug 15;28(16):2207-8. doi: 10.1093/bioinformatics/bts359. Epub 2012 Jun 23.

PMID:
22730433
12.
13.

Computational cluster validation in post-genomic data analysis.

Handl J, Knowles J, Kell DB.

Bioinformatics. 2005 Aug 1;21(15):3201-12. Epub 2005 May 24. Review.

PMID:
15914541
14.

Domain-enhanced analysis of microarray data using GO annotations.

Liu J, Hughes-Oliver JM, Menius JA Jr.

Bioinformatics. 2007 May 15;23(10):1225-34. Epub 2007 Mar 22.

PMID:
17379692
15.

massiR: a method for predicting the sex of samples in gene expression microarray datasets.

Buckberry S, Bent SJ, Bianco-Miotto T, Roberts CT.

Bioinformatics. 2014 Jul 15;30(14):2084-5. doi: 10.1093/bioinformatics/btu161. Epub 2014 Mar 22.

16.

MAGIC Tool: integrated microarray data analysis.

Heyer LJ, Moskowitz DZ, Abele JA, Karnik P, Choi D, Campbell AM, Oldham EE, Akin BK.

Bioinformatics. 2005 May 1;21(9):2114-5. Epub 2005 Jan 12.

PMID:
15647303
17.
18.

Using the bioconductor GeneAnswers package to interpret gene lists.

Feng G, Shaw P, Rosen ST, Lin SM, Kibbe WA.

Methods Mol Biol. 2012;802:101-12. doi: 10.1007/978-1-61779-400-1_7.

PMID:
22130876
19.

nEASE: a method for gene ontology subclassification of high-throughput gene expression data.

Chittenden TW, Howe EA, Taylor JM, Mar JC, Aryee MJ, Gómez H, Sultana R, Braisted J, Nair SJ, Quackenbush J, Holmes C.

Bioinformatics. 2012 Mar 1;28(5):726-8. doi: 10.1093/bioinformatics/bts011. Epub 2012 Jan 13.

PMID:
22247278
20.

GeneCluster 2.0: an advanced toolset for bioarray analysis.

Reich M, Ohm K, Angelo M, Tamayo P, Mesirov JP.

Bioinformatics. 2004 Jul 22;20(11):1797-8. Epub 2004 Feb 26.

PMID:
14988123

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