Javad Noorbakhsh
Javad Noorbakhsh
Computational Scientist, Broad Institute of MIT and Harvard
Verified email at
Cited by
Cited by
From intracellular signaling to population oscillations: bridging size‐and time‐scales in collective behavior
AE Sgro, DJ Schwab, J Noorbakhsh, T Mestler, P Mehta, T Gregor
Molecular systems biology 11 (1), 779, 2015
Intrinsic noise of microRNA-regulated genes and the ceRNA hypothesis
J Noorbakhsh, AH Lang, P Mehta
PLoS One 8 (8), e72676, 2013
Longitudinal molecular trajectories of diffuse glioma in adults
FP Barthel, KC Johnson, FS Varn, AD Moskalik, G Tanner, E Kocakavuk, ...
Nature 576 (7785), 112-120, 2019
Two-dimensionality of yeast colony expansion accompanied by pattern formation
L Chen, J Noorbakhsh, RM Adams, J Samaniego-Evans, G Agollah, ...
PLoS Comput Biol 10 (12), e1003979, 2014
Modeling oscillations and spiral waves in Dictyostelium populations
J Noorbakhsh, DJ Schwab, AE Sgro, T Gregor, P Mehta
Physical Review E 91 (6), 062711, 2015
Uncertainties in tumor allele frequencies limit power to infer evolutionary pressures
J Noorbakhsh, JH Chuang
Nature genetics 49 (9), 1288, 2017
CCNE1 amplification is associated with poor prognosis in patients with triple negative breast cancer
ZM Zhao, SE Yost, KE Hutchinson, SM Li, YC Yuan, J Noorbakhsh, Z Liu, ...
BMC cancer 19 (1), 96, 2019
Distribution-based measures of tumor heterogeneity are sensitive to mutation calling and lack strong clinical predictive power
J Noorbakhsh, H Kim, S Namburi, JH Chuang
Scientific Reports 8 (1), 11445, 2018
High-resolution deconstruction of evolution induced by chemotherapy treatments in breast cancer xenografts
H Kim, P Kumar, F Menghi, J Noorbakhsh, E Cerveira, M Ryan, Q Zhu, ...
Scientific reports 8 (1), 17937, 2018
Machine learning in biology and medicine
J Noorbakhsh, H Chandok, RKM Karuturi, J George
Advances in Molecular Pathology, 2019
Pan-cancer classifications of tumor histological images using deep learning
J Noorbakhsh, S Farahmand, M Soltanieh-ha, S Namburi, K Zarringhalam, ...
bioRxiv, 715656, 2019
Treating Cancer as an Invasive Species
J Noorbakhsh, ZM Zhao, JC Russell, JH Chuang
Molecular Cancer Research 18 (1), 20-26, 2020
The PDX Data Commons and Coordinating Center (PDCCC) for PDXNet
A Sethi, A Srivastava, X Woo, V Sarsani, Z Zhao, J Noorbakhsh, C French, ...
Cancer Research 78 (13 Supplement), 1029-1029, 2018
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
J Noorbakhsh, S Farahmand, S Namburi, D Caruana, D Rimm, ...
bioRxiv, 715656, 2020
The PDX Data Commons and Coordinating Center (PDCCC) for PDXNet in support of preclinical research
J Rosains, A Srivastava, W Woo, V Sarsani, ZM Zhao, J Noorbakhsh, ...
Cancer Research 79 (13 Supplement), 1074-1074, 2019
Deep learning functional associations using histopathology images
J Noorbakhsh, S Farahmand, MS Ha, S Namburi, K Zarringhalam, ...
Cancer Research 79 (13 Supplement), 1632-1632, 2019
Evolution of an intratumoral ecology susceptible to successive treatment in breast cancer xenografts
H Kim, P Kumar, F Menghi, J Noorbakhsh, E Cerveira, M Ryan, Q Zhu, ...
bioRxiv, 249797, 2018
Nonlinearity and stochasticity in biochemical networks
J Noorbakhsh
Stochasticity and universal dynamics in communicating cellular populations
J Noorbakhsh, P Mehta, Allyson Sgro Collaboration, ...
APS 2014, J15. 002, 2014
Quantitative Analysis of How RET Receptor Activation is Coupled to ERK and Akt Signaling: 638
S Li, J Noorbakhsh, T Riera, P Mehta, A Whitty
Protein Science 22, 2013
The system can't perform the operation now. Try again later.
Articles 1–20