Zare H - Search Results

1

B cells with high side scatter parameter by flow cytometry correlate with inferior survival in diffuse large B-cell lymphoma.

Bashashati A, Johnson NA, Khodabakhshi AH, Whiteside MD, Zare H, Scott DW, Lo K, Gottardo R, Brinkman FS, Connors JM, Slack GW, Gascoyne RD, Weng AP, Brinkman RR. Bashashati A, et al. Among authors: zare h. Am J Clin Pathol. 2012 May;137(5):805-14. doi: 10.1309/AJCPGR8BG4JDVOWR. Am J Clin Pathol. 2012. PMID: 22523221 Free PMC article.

2

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

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

3

Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma.

Zare H, Bashashati A, Kridel R, Aghaeepour N, Haffari G, Connors JM, Gascoyne RD, Gupta A, Brinkman RR, Weng AP. Zare H, et al. Am J Clin Pathol. 2012 Jan;137(1):75-85. doi: 10.1309/AJCPMMLQ67YOMGEW. Am J Clin Pathol. 2012. PMID: 22180480 Free PMC article.

4

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: zare h. Bioinformatics. 2012 Apr 1;28(7):1009-16. doi: 10.1093/bioinformatics/bts082. Epub 2012 Feb 29. Bioinformatics. 2012. PMID: 22383736 Free PMC article.

5

Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis.

Zare H, Haffari G, Gupta A, Brinkman RR. Zare H, et al. BMC Genomics. 2013;14 Suppl 1(Suppl 1):S14. doi: 10.1186/1471-2164-14-S1-S14. Epub 2013 Jan 21. BMC Genomics. 2013. PMID: 23369194 Free PMC article.

6

Critical assessment of automated flow cytometry data analysis techniques.

Aghaeepour N, Finak G; FlowCAP Consortium; DREAM Consortium; Hoos H, Mosmann TR, Brinkman R, Gottardo R, Scheuermann RH. Aghaeepour N, et al. Nat Methods. 2013 Mar;10(3):228-38. doi: 10.1038/nmeth.2365. Epub 2013 Feb 10. Nat Methods. 2013. PMID: 23396282 Free PMC article.

7

DNA methylation analysis improves the prognostication of acute myeloid leukemia.

Samimi H, Mehta I, Docking TR, Zainulabadeen A, Karsan A, Zare H. Samimi H, et al. Among authors: zare h. EJHaem. 2021 May;2(2):211-218. doi: 10.1002/jha2.187. Epub 2021 Mar 13. EJHaem. 2021. PMID: 34308417 Free PMC article.

8

Large-scale gene network analysis reveals the significance of extracellular matrix pathway and homeobox genes in acute myeloid leukemia: an introduction to the Pigengene package and its applications.

Foroushani A, Agrahari R, Docking R, Chang L, Duns G, Hudoba M, Karsan A, Zare H. Foroushani A, et al. Among authors: zare h. BMC Med Genomics. 2017 Mar 16;10(1):16. doi: 10.1186/s12920-017-0253-6. BMC Med Genomics. 2017. PMID: 28298217 Free PMC article.

9

Applications of Bayesian network models in predicting types of hematological malignancies.

Agrahari R, Foroushani A, Docking TR, Chang L, Duns G, Hudoba M, Karsan A, Zare H. Agrahari R, et al. Among authors: zare h. Sci Rep. 2018 May 3;8(1):6951. doi: 10.1038/s41598-018-24758-5. Sci Rep. 2018. PMID: 29725024 Free PMC article.

10

Inferring clonal composition from multiple sections of a breast cancer.

Zare H, Wang J, Hu A, Weber K, Smith J, Nickerson D, Song C, Witten D, Blau CA, Noble WS. Zare H, et al. PLoS Comput Biol. 2014 Jul 10;10(7):e1003703. doi: 10.1371/journal.pcbi.1003703. eCollection 2014 Jul. PLoS Comput Biol. 2014. PMID: 25010360 Free PMC article.

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