Ed Reznik
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Comprehensive molecular characterization of papillary renal-cell carcinoma
CGAR Network
New England Journal of Medicine 374 (2), 135-145, 2016
The cancer genome atlas comprehensive molecular characterization of renal cell carcinoma
CJ Ricketts, AA De Cubas, H Fan, CC Smith, M Lang, E Reznik, R Bowlby, ...
Cell reports 23 (1), 313-326. e5, 2018
The long tail of oncogenic drivers in prostate cancer
J Armenia, SAM Wankowicz, D Liu, J Gao, R Kundra, E Reznik, ...
Nature genetics 50 (5), 645-651, 2018
Tracking cancer evolution reveals constrained routes to metastases: TRACERx renal
S Turajlic, H Xu, K Litchfield, A Rowan, T Chambers, JI Lopez, D Nicol, ...
Cell 173 (3), 581-594. e12, 2018
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
AA Hakimi*, E Reznik*, CH Lee, CJ Creighton, AR Brannon, A Luna, ...
Cancer Cell 29 (1), 104-116, 2016
Integrative genomic analysis of cholangiocarcinoma identifies distinct IDH-mutant molecular profiles
F Farshidfar, S Zheng, MC Gingras, Y Newton, J Shih, AG Robertson, ...
Cell reports 18 (11), 2780-2794, 2017
Mitochondrial DNA copy number variation across human cancers
E Reznik, ML Miller, Y Şenbabaoğlu, N Riaz, J Sarungbam, SK Tickoo, ...
elife 5, e10769, 2016
Multilevel genomics-based taxonomy of renal cell carcinoma
F Chen, Y Zhang, Y Şenbabaoğlu, G Ciriello, L Yang, E Reznik, B Shuch, ...
Cell reports 14 (10), 2476-2489, 2016
Pathway thermodynamics highlights kinetic obstacles in central metabolism
E Noor, A Bar-Even, A Flamholz, E Reznik, W Liebermeister, R Milo
PLoS computational biology 10 (2), e1003483, 2014
Graph curvature for differentiating cancer networks
R Sandhu, T Georgiou, E Reznik, L Zhu, I Kolesov, Y Senbabaoglu, ...
Scientific reports 5 (1), 1-13, 2015
Integrated genomic analysis of Hürthle cell cancer reveals oncogenic drivers, recurrent mitochondrial mutations, and unique chromosomal landscapes
I Ganly, V Makarov, S Deraje, YY Dong, E Reznik, V Seshan, ...
Cancer cell 34 (2), 256-270. e5, 2018
Double PIK3CA mutations in cis increase oncogenicity and sensitivity to PI3Kα inhibitors
N Vasan, P Razavi, JL Johnson, H Shao, H Shah, A Antoine, E Ladewig, ...
Science 366 (6466), 714-723, 2019
Pan-cancer analysis of mutation hotspots in protein domains
ML Miller, E Reznik, NP Gauthier, BA Aksoy, A Korkut, J Gao, G Ciriello, ...
Cell systems 1 (3), 197-209, 2015
Isoform switching as a mechanism of acquired resistance to mutant isocitrate dehydrogenase inhibition
JJ Harding, MA Lowery, AH Shih, JM Schvartzman, S Hou, C Famulare, ...
Cancer discovery 8 (12), 1540-1547, 2018
Unifying cancer and normal RNA sequencing data from different sources
Q Wang, J Armenia, C Zhang, AV Penson, E Reznik, L Zhang, T Minet, ...
Scientific data 5 (1), 1-8, 2018
Mitochondrial respiratory gene expression is suppressed in many cancers
E Reznik, Q Wang, K La, N Schultz, C Sander
Elife 6, e21592, 2017
A Landscape of Metabolic Variation across Tumor Types
E Reznik, A Luna, BA Aksoy, EM Liu, K La, I Ostrovnaya, CJ Creighton, ...
Cell Systems 6 (3), 301-313. e3, 2018
Flux imbalance analysis and the sensitivity of cellular growth to changes in metabolite pools
E Reznik, P Mehta, D Segrč
PLoS computational biology 9 (8), e1003195, 2013
Temporal Expression-based Analysis of Metabolism
SB Collins*, E Reznik*, D Segrč
PLoS computational biology 8 (11), e1002781, 2012
Genome-scale architecture of small molecule regulatory networks and the fundamental trade-off between regulation and enzymatic activity
E Reznik, D Christodoulou, JE Goldford, E Briars, U Sauer, D Segrč, ...
Cell reports 20 (11), 2666-2677, 2017
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Articles 1–20