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vladislav uzunangelov
vladislav uzunangelov
Other namesVlado Uzunangelov
Principal Scientist, Bristol Myers Squibb
No verified email
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Cited by
Cited by
Year
Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
KA Hoadley, C Yau, DM Wolf, AD Cherniack, D Tamborero, S Ng, ...
Cell 158 (4), 929-944, 2014
15262014
Integrative analysis identifies four molecular and clinical subsets in uveal melanoma
AG Robertson, J Shih, C Yau, EA Gibb, J Oba, KL Mungall, JM Hess, ...
Cancer cell 32 (2), 204-220. e15, 2017
8042017
Clinical and genomic characterization of treatment-emergent small-cell neuroendocrine prostate cancer: a multi-institutional prospective study
R Aggarwal, J Huang, JJ Alumkal, L Zhang, FY Feng, GV Thomas, ...
Journal of Clinical Oncology 36 (24), 2492, 2018
5932018
Phosphoproteome integration reveals patient-specific networks in prostate cancer
JM Drake, EO Paull, NA Graham, JK Lee, BA Smith, B Titz, T Stoyanova, ...
Cell 166 (4), 1041-1054, 2016
2202016
A basal stem cell signature identifies aggressive prostate cancer phenotypes
BA Smith, A Sokolov, V Uzunangelov, R Baertsch, Y Newton, K Graim, ...
Proceedings of the National Academy of Sciences 112 (47), E6544-E6552, 2015
2202015
MEK-ERK signaling is a therapeutic target in metastatic castration resistant prostate cancer
NG Nickols, R Nazarian, SG Zhao, V Tan, V Uzunangelov, Z Xia, ...
Prostate cancer and prostatic diseases 22 (4), 531-538, 2019
912019
Estimated effects of the national breast and cervical cancer early detection program on breast cancer mortality
TJ Hoerger, DU Ekwueme, JW Miller, V Uzunangelov, IJ Hall, J Segel, ...
American journal of preventive medicine 40 (4), 397-404, 2011
902011
A model for allocating CDC’s HIV prevention resources in the United States
A Lasry, SL Sansom, KA Hicks, V Uzunangelov
Health care management science 14, 115-124, 2011
512011
Allocating HIV prevention funds in the United States: recommendations from an optimization model
A Lasry, SL Sansom, KA Hicks, V Uzunangelov
PloS one 7 (6), e37545, 2012
432012
Impact of the National Breast and Cervical Cancer Early Detection Program on cervical cancer mortality among uninsured low-income women in the US, 1991–2007
DU Ekwueme, VJ Uzunangelov, TJ Hoerger, JW Miller, M Saraiya, ...
American journal of preventive medicine 47 (3), 300-308, 2014
392014
Cancer Genome Atlas Research N, Benz CC, Perou CM, Stuart JM (2014) Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
KA Hoadley, C Yau, DM Wolf, AD Cherniack, D Tamborero, S Ng, ...
Cell 158 (4), 929-944, 0
33
A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines
M Gönen, BA Weir, GS Cowley, F Vazquez, Y Guan, A Jaiswal, ...
Cell systems 5 (5), 485-497. e3, 2017
242017
Cancer Genome Atlas Research Network Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
KA Hoadley, C Yau, DM Wolf, AD Cherniack, D Tamborero, S Ng, ...
Cell 158 (4), 929-944, 2014
212014
Transcriptional profiling of matched patient biopsies clarifies molecular determinants of enzalutamide-induced lineage plasticity
TC Westbrook, X Guan, E Rodansky, D Flores, CJ Liu, AM Udager, ...
Nature communications 13 (1), 5345, 2022
162022
Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge
V Uzunangelov, CK Wong, JM Stuart
PLoS computational biology 17 (4), e1008878, 2021
112021
Van’t Veer LJ, Lopez-Bigas N., Laird PW, Raphael BJ, Ding L., Robertson AG, Byers LA, Mills GB, Weinstein JN, Van Waes C., Chen Z., Collisson EA Cancer Genome Atlas Research …
KA Hoadley, C Yau, DM Wolf, AD Cherniack, D Tamborero, S Ng, ...
Cell 158 (4), 929, 2014
42014
Prediction of cancer phenotypes through the integration of multi-omic data and prior information
VJ Uzunangelov
University of California, Santa Cruz, 2019
22019
Highly accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge
V Uzunangelov, CK Wong, JM Stuart
bioRxiv, 2020.07. 15.205575, 2020
12020
Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples
K Ellrott, CK Wong, C Yau, MA Castro, J Lee, B Karlberg, JK Grewal, ...
Cancer Research 84 (6_Supplement), 6548-6548, 2024
2024
Abstract PR10: Multiple Pathway Learning accurately predicts gene essentiality in the Cancer Cell Line Encyclopedia
V Uzunangelov, E Paull, S Chopra, D Carlin, A Bivol, K Ellrott, K Graim, ...
Cancer Research 75 (22_Supplement_1), PR10-PR10, 2015
2015
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