Stephen R. Master, Ph.D.
Affiliations: | 2001 | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Molecular BiologyGoogle:
"Stephen Master"Parents
Sign in to add mentorLewis A. Chodosh | grad student | 2001 | Penn | |
(Transcriptional networks in organogenesis: Microarray analysis of mammary gland development.) |
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Publications
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Wertheim GBW, Luskin MR, Carroll M, et al. (2017) Microsphere-Based Assessment of DNA Methylation for AML Prognosis. Methods in Molecular Biology (Clifton, N.J.). 1633: 125-136 |
DiNardo CD, Luskin MR, Carroll M, et al. (2016) Validation of a Clinical Assay of Multi-Locus DNA Methylation for Prognosis of Newly Diagnosed AML. American Journal of Hematology |
Luskin MR, Gimotty PA, Smith C, et al. (2016) A clinical measure of DNA methylation predicts outcome in de novo acute myeloid leukemia. Jci Insight. 1 |
Wertheim GB, Smith C, Luskin M, et al. (2015) Validation of DNA methylation to predict outcome in acute myeloid leukemia by use of xMELP. Clinical Chemistry. 61: 249-58 |
Luskin MR, Gimotty P, Smith C, et al. (2015) A Clinical Measure of DNA Methylation Predicts Outcome in De Novo AML Blood. 126: 2591-2591 |
Wertheim GB, Smith C, Figueroa ME, et al. (2014) Microsphere-based multiplex analysis of DNA methylation in acute myeloid leukemia. The Journal of Molecular Diagnostics : Jmd. 16: 207-15 |
Raess PW, van de Geijn GJ, Njo TL, et al. (2014) Automated screening for myelodysplastic syndromes through analysis of complete blood count and cell population data parameters. American Journal of Hematology. 89: 369-74 |
Luskin MR, Gimotty PA, Wertheim G, et al. (2014) A Measure of DNA Methylation for Predicting Outcome in De Novo AML Blood. 124: 2345-2345 |
Everett LJ, Bierl C, Master SR. (2010) Unbiased statistical analysis for multi-stage proteomic search strategies. Journal of Proteome Research. 9: 700-7 |
Orwig KE, Ryu BY, Master SR, et al. (2008) Genes involved in post-transcriptional regulation are overrepresented in stem/progenitor spermatogonia of cryptorchid mouse testes. Stem Cells (Dayton, Ohio). 26: 927-38 |