Javad Noorbakhsh
Javad Noorbakhsh
Principal Scientist, Kojin Therapeutics
Verified email at
Cited by
Cited by
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
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
J Noorbakhsh, S Farahmand, S Namburi, D Caruana, D Rimm, ...
Nature communications 11 (1), 1-14, 2020
Repeat expansions confer WRN dependence in microsatellite-unstable cancers
N van Wietmarschen, S Sridharan, WJ Nathan, A Tubbs, EM Chan, ...
Nature 586 (7828), 292-298, 2020
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
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, 1-11, 2019
Two-dimensionality of yeast colony expansion accompanied by pattern formation
L Chen, J Noorbakhsh, RM Adams, J Samaniego-Evans, G Agollah, ...
PLoS computational biology 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
Intrinsic noise of microRNA-regulated genes and the ceRNA hypothesis
J Noorbakhsh, AH Lang, P Mehta
PLoS One 8 (8), e72676, 2013
Uncertainties in tumor allele frequencies limit power to infer evolutionary pressures
J Noorbakhsh, JH Chuang
Nature genetics 49 (9), 1288, 2017
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
Machine learning in biology and medicine
J Noorbakhsh, H Chandok, RKM Karuturi, J George
Advances in Molecular Pathology 2 (1), 143-152, 2019
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
Computational estimation of quality and clinical relevance of cancer cell lines
L Trastulla, J Noorbakhsh, F Vazquez, J McFarland, F Iorio
Molecular Systems Biology 18 (7), e11017, 2022
Treating cancer as an invasive species
J Noorbakhsh, ZM Zhao, JC Russell, JH Chuang
Molecular Cancer Research 18 (1), 20-26, 2020
Bridging the gap between cancer cell line models and tumours using gene expression data
J Noorbakhsh, F Vazquez, JM McFarland
British Journal of Cancer 125 (3), 311-312, 2021
The enzyme glutamate-cysteine ligase (GCL) is a target for ferroptosis induction in cancer
JK Eaton, P Chatterji, L Furst, S Basak, AM Patel, YY Sweat, LL Cai, ...
bioRxiv, 2024.04. 28.591552, 2024
High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology with Cellos
P Mukashyaka, P Kumar, DJ Mellert, S Nicholas, J Noorbakhsh, ...
Nature Communications 14 (1), 8406, 2023
Cellos: High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology
P Mukashyaka, P Kumar, DJ Mellert, S Nicholas, J Noorbakhsh, ...
bioRxiv, 2023
Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries
SA Misek, A Fultineer, J Kalfon, J Noorbakhsh, I Boyle, P Roy, J Dempster, ...
Nature Communications 15 (1), 4892, 2024
Abstract PO-003: Deep learning identifies conserved pan-cancer tumor features
J Noorbakhsh, S Farahmand, A Foroughi pour, S Namburi, D Caruana, ...
Clinical Cancer Research 27 (5_Supplement), PO-003-PO-003, 2021
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