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Similar articles for PubMed (Select 16201919)

1.

A cluster pattern algorithm for the analysis of multiparametric cell assays.

Kaufman M, Bloch D, Zurgil N, Shafran Y, Deutsch M.

J Comput Biol. 2005 Sep;12(7):1014-28.

PMID:
16201919
2.

Feature-guided clustering of multi-dimensional flow cytometry datasets.

Zeng QT, Pratt JP, Pak J, Ravnic D, Huss H, Mentzer SJ.

J Biomed Inform. 2007 Jun;40(3):325-31. Epub 2006 Jun 27.

3.

Spectral embedding finds meaningful (relevant) structure in image and microarray data.

Higgs BW, Weller J, Solka JL.

BMC Bioinformatics. 2006 Feb 16;7:74.

4.

Probability binning comparison: a metric for quantitating multivariate distribution differences.

Roederer M, Moore W, Treister A, Hardy RR, Herzenberg LA.

Cytometry. 2001 Sep 1;45(1):47-55.

PMID:
11598946
5.

Automated gating of flow cytometry data via robust model-based clustering.

Lo K, Brinkman RR, Gottardo R.

Cytometry A. 2008 Apr;73(4):321-32. doi: 10.1002/cyto.a.20531.

6.

A non-parametric Bayesian model for joint cell clustering and cluster matching: identification of anomalous sample phenotypes with random effects.

Dundar M, Akova F, Yerebakan HZ, Rajwa B.

BMC Bioinformatics. 2014 Sep 24;15:314. doi: 10.1186/1471-2105-15-314.

7.

Computing the maximum similarity bi-clusters of gene expression data.

Liu X, Wang L.

Bioinformatics. 2007 Jan 1;23(1):50-6. Epub 2006 Nov 7.

8.

A clustering algorithm based on two distance functions for MEC model.

Wang Y, Feng E, Wang R.

Comput Biol Chem. 2007 Apr;31(2):148-50. Epub 2007 Feb 9.

PMID:
17363329
9.

Parallel clustering algorithm for large data sets with applications in bioinformatics.

Olman V, Mao F, Wu H, Xu Y.

IEEE/ACM Trans Comput Biol Bioinform. 2009 Apr-Jun;6(2):344-52. doi: 10.1109/TCBB.2007.70272.

PMID:
19407357
10.
11.

NIFTI: an evolutionary approach for finding number of clusters in microarray data.

Jonnalagadda S, Srinivasan R.

BMC Bioinformatics. 2009 Jan 30;10:40. doi: 10.1186/1471-2105-10-40.

12.

Cluster analysis: an alternative method for covariate selection in population pharmacokinetic modeling.

Semmar N, Bruguerolle B, Boullu-Ciocca S, Simon N.

J Pharmacokinet Pharmacodyn. 2005 Aug;32(3-4):333-58.

PMID:
16307207
13.

Statistical file matching of flow cytometry data.

Lee G, Finn W, Scott C.

J Biomed Inform. 2011 Aug;44(4):663-76. doi: 10.1016/j.jbi.2011.03.004. Epub 2011 Mar 21.

14.

Clustering microarray gene expression data using weighted Chinese restaurant process.

Qin ZS.

Bioinformatics. 2006 Aug 15;22(16):1988-97. Epub 2006 Jun 9.

15.

Subdimension-based similarity measure for DNA microarray data clustering.

Lam BS, Yan H.

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Oct;74(4 Pt 1):041906. Epub 2006 Oct 9.

PMID:
17155095
17.

A multidimensional classification approach for the automated analysis of flow cytometry data.

Pedreira CE, Costa ES, Arroyo ME, Almeida J, Orfao A.

IEEE Trans Biomed Eng. 2008 Mar;55(3):1155-62. doi: 10.1109/TBME.2008.915729.

PMID:
18334408
18.

Polychromatic flow cytometry: a rapid method for the reduction and analysis of complex multiparameter data.

Petrausch U, Haley D, Miller W, Floyd K, Urba WJ, Walker E.

Cytometry A. 2006 Dec 1;69(12):1162-73.

19.

Multiparametric flow cytometric analysis of signal transducer and activator of transcription 5 phosphorylation in immune cell subsets in vitro and following interleukin-2 immunotherapy.

Varker KA, Kondadasula SV, Go MR, Lesinski GB, Ghosh-Berkebile R, Lehman A, Monk JP, Olencki T, Kendra K, Carson WE 3rd.

Clin Cancer Res. 2006 Oct 1;12(19):5850-8.

20.

From transcriptome to cytome: integrating cytometric profiling, multivariate cluster, and prediction analyses for a phenotypical classification of inflammatory diseases.

Steinbrich-Zöllner M, Grün JR, Kaiser T, Biesen R, Raba K, Wu P, Thiel A, Rudwaleit M, Sieper J, Burmester GR, Radbruch A, Grützkau A.

Cytometry A. 2008 Apr;73(4):333-40. doi: 10.1002/cyto.a.20505.

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