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2010 – 2019
- 2016
[j5]Nicholas Paul Gauthier, Ed Reznik
, Jianjiong Gao, Selçuk Onur Sümer, Nikolaus Schultz, Chris Sander, Martin L. Miller:
MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer. Nucleic Acids Res. 44(Database-Issue): 986-991 (2016)- [c2]Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad, Ed Reznik, Satish K. Tickoo, Thomas J. Fuchs:
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations. MLHC 2016: 191-208 - [i1]Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad, Ed Reznik, Satish K. Tickoo, Thomas J. Fuchs:
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations. CoRR abs/1608.00842 (2016) - 2015
- [j4]Ed Reznik, Chris Sander:
Extensive Decoupling of Metabolic Genes in Cancer. PLoS Comput. Biol. 11(5) (2015) - [c1]Qi Zhao, Arion Stettner, Ed Reznik, Daniel Segrè, Ioannis Ch. Paschalidis:
Learning cellular objectives from fluxes by inverse optimization. CDC 2015: 1271-1276 - 2014
- [j3]Elad Noor, Arren Bar-Even, Avi I. Flamholz, Ed Reznik, Wolfram Liebermeister, Ron Milo:
Pathway Thermodynamics Highlights Kinetic Obstacles in Central Metabolism. PLoS Comput. Biol. 10(2) (2014) - 2013
- [j2]Ed Reznik, Pankaj Mehta, Daniel Segrè:
Flux Imbalance Analysis and the Sensitivity of Cellular Growth to Changes in Metabolite Pools. PLoS Comput. Biol. 9(8) (2013) - 2012
- [j1]Sara B. Collins, Ed Reznik, Daniel Segrè:
Temporal Expression-based Analysis of Metabolism. PLoS Comput. Biol. 8(11) (2012)
Coauthor Index
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