Brinkman RR - Search Results

1

Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays.

Aghaeepour N, Chattopadhyay PK, Ganesan A, O'Neill K, Zare H, Jalali A, Hoos HH, Roederer M, Brinkman RR. Aghaeepour N, et al. Among authors: brinkman rr. Bioinformatics. 2012 Apr 1;28(7):1009-16. doi: 10.1093/bioinformatics/bts082. Epub 2012 Feb 29. Bioinformatics. 2012. PMID: 22383736 Free PMC article.

2

Data standards for flow cytometry.

Spidlen J, Gentleman RC, Haaland PD, Langille M, Le Meur N, Ochs MF, Schmitt C, Smith CA, Treister AS, Brinkman RR. Spidlen J, et al. Among authors: brinkman rr. OMICS. 2006 Summer;10(2):209-14. doi: 10.1089/omi.2006.10.209. OMICS. 2006. PMID: 16901228 Free PMC article. Review.

3

High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease.

Brinkman RR, Gasparetto M, Lee SJ, Ribickas AJ, Perkins J, Janssen W, Smiley R, Smith C. Brinkman RR, et al. Biol Blood Marrow Transplant. 2007 Jun;13(6):691-700. doi: 10.1016/j.bbmt.2007.02.002. Epub 2007 Apr 6. Biol Blood Marrow Transplant. 2007. PMID: 17531779 Free PMC article.

4

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

Lo K, Brinkman RR, Gottardo R. Lo K, et al. Among authors: brinkman rr. Cytometry A. 2008 Apr;73(4):321-32. doi: 10.1002/cyto.a.20531. Cytometry A. 2008. PMID: 18307272 Free article.

5

Gating-ML: XML-based gating descriptions in flow cytometry.

Spidlen J, Leif RC, Moore W, Roederer M; International Society for the Advancement of Cytometry Data Standards Task Force; Brinkman RR. Spidlen J, et al. Among authors: brinkman rr. Cytometry A. 2008 Dec;73A(12):1151-7. doi: 10.1002/cyto.a.20637. Cytometry A. 2008. PMID: 18773465 Free PMC article.

6

flowClust: a Bioconductor package for automated gating of flow cytometry data.

Lo K, Hahne F, Brinkman RR, Gottardo R. Lo K, et al. Among authors: brinkman rr. BMC Bioinformatics. 2009 May 14;10:145. doi: 10.1186/1471-2105-10-145. BMC Bioinformatics. 2009. PMID: 19442304 Free PMC article.

7

Data File Standard for Flow Cytometry, version FCS 3.1.

Spidlen J, Moore W, Parks D, Goldberg M, Bray C, Bierre P, Gorombey P, Hyun B, Hubbard M, Lange S, Lefebvre R, Leif R, Novo D, Ostruszka L, Treister A, Wood J, Murphy RF, Roederer M, Sudar D, Zigon R, Brinkman RR. Spidlen J, et al. Among authors: brinkman rr. Cytometry A. 2010 Jan;77(1):97-100. doi: 10.1002/cyto.a.20825. Cytometry A. 2010. PMID: 19937951 Free PMC article.

8

A pipeline for automated analysis of flow cytometry data: preliminary results on lymphoma sub-type diagnosis.

Bashashati A, Lo K, Gottardo R, Gascoyne RD, Weng A, Brinkman R. Bashashati A, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:4945-8. doi: 10.1109/IEMBS.2009.5332710. Annu Int Conf IEEE Eng Med Biol Soc. 2009. PMID: 19963874

9

A survey of flow cytometry data analysis methods.

Bashashati A, Brinkman RR. Bashashati A, et al. Among authors: brinkman rr. Adv Bioinformatics. 2009;2009:584603. doi: 10.1155/2009/584603. Epub 2009 Dec 6. Adv Bioinformatics. 2009. PMID: 20049163 Free PMC article.

10

Data reduction for spectral clustering to analyze high throughput flow cytometry data.

Zare H, Shooshtari P, Gupta A, Brinkman RR. Zare H, et al. Among authors: brinkman rr. BMC Bioinformatics. 2010 Jul 28;11:403. doi: 10.1186/1471-2105-11-403. BMC Bioinformatics. 2010. PMID: 20667133 Free PMC article.

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