Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 19

1.

Genetic analysis of human traits in vitro: drug response and gene expression in lymphoblastoid cell lines.

Choy E, Yelensky R, Bonakdar S, Plenge RM, Saxena R, De Jager PL, Shaw SY, Wolfish CS, Slavik JM, Cotsapas C, Rivas M, Dermitzakis ET, Cahir-McFarland E, Kieff E, Hafler D, Daly MJ, Altshuler D.

PLoS Genet. 2008 Nov;4(11):e1000287. doi: 10.1371/journal.pgen.1000287. Epub 2008 Nov 28.

2.

Statistical mixture modeling for cell subtype identification in flow cytometry.

Chan C, Feng F, Ottinger J, Foster D, West M, Kepler TB.

Cytometry A. 2008 Aug;73(8):693-701. doi: 10.1002/cyto.a.20583.

3.

Mixture modeling approach to flow cytometry data.

Boedigheimer MJ, Ferbas J.

Cytometry A. 2008 May;73(5):421-9. doi: 10.1002/cyto.a.20553.

4.

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.

5.

Allelic variant in CTLA4 alters T cell phosphorylation patterns.

Maier LM, Anderson DE, De Jager PL, Wicker LS, Hafler DA.

Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18607-12. Epub 2007 Nov 13.

6.

PLINK: a tool set for whole-genome association and population-based linkage analyses.

Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC.

Am J Hum Genet. 2007 Sep;81(3):559-75. Epub 2007 Jul 25.

7.

Mixture-model classification in DNA content analysis.

Wang H, Huang S.

Cytometry A. 2007 Sep;71(9):716-23.

8.

Quality assurance for polychromatic flow cytometry.

Perfetto SP, Ambrozak D, Nguyen R, Chattopadhyay P, Roederer M.

Nat Protoc. 2006;1(3):1522-30.

PMID:
17406444
9.

Data quality assessment of ungated flow cytometry data in high throughput experiments.

Le Meur N, Rossini A, Gasparetto M, Smith C, Brinkman RR, Gentleman R.

Cytometry A. 2007 Jun;71(6):393-403.

10.
11.

A new automated flow cytometry data analysis approach for the diagnostic screening of neoplastic B-cell disorders in peripheral blood samples with absolute lymphocytosis.

Costa ES, Arroyo ME, Pedreira CE, GarcĂ­a-Marcos MA, Tabernero MD, Almeida J, Orfao A.

Leukemia. 2006 Jul;20(7):1221-30. Epub 2006 May 25.

PMID:
16728986
12.

MHC class II expression identifies functionally distinct human regulatory T cells.

Baecher-Allan C, Wolf E, Hafler DA.

J Immunol. 2006 Apr 15;176(8):4622-31.

13.

Mapping normal and cancer cell signalling networks: towards single-cell proteomics.

Irish JM, Kotecha N, Nolan GP.

Nat Rev Cancer. 2006 Feb;6(2):146-55. Review.

PMID:
16491074
14.

Seventeen-colour flow cytometry: unravelling the immune system.

Perfetto SP, Chattopadhyay PK, Roederer M.

Nat Rev Immunol. 2004 Aug;4(8):648-55. No abstract available.

PMID:
15286731
15.

Beyond six colors: a new era in flow cytometry.

De Rosa SC, Brenchley JM, Roederer M.

Nat Med. 2003 Jan;9(1):112-7. No abstract available.

PMID:
12514723
16.

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
17.

11-color, 13-parameter flow cytometry: identification of human naive T cells by phenotype, function, and T-cell receptor diversity.

De Rosa SC, Herzenberg LA, Herzenberg LA, Roederer M.

Nat Med. 2001 Feb;7(2):245-8. No abstract available.

PMID:
11175858
19.

Analyzing multivariate flow cytometric data in aquatic sciences.

Demers S, Kim J, Legendre P, Legendre L.

Cytometry. 1992;13(3):291-8.

Items per page

Supplemental Content

Write to the Help Desk