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Javad Noorbakhsh
Javad Noorbakhsh
Scientist, Jackson Laboratory
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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
4842019
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
1832020
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
1432020
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
842015
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
742019
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
522015
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
522014
Intrinsic noise of microRNA-regulated genes and the ceRNA hypothesis
J Noorbakhsh, AH Lang, P Mehta
PLoS One 8 (8), e72676, 2013
402013
Uncertainties in tumor allele frequencies limit power to infer evolutionary pressures
J Noorbakhsh, JH Chuang
Nature genetics 49 (9), 1288, 2017
302017
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
242018
Machine learning in biology and medicine
J Noorbakhsh, H Chandok, RKM Karuturi, J George
Advances in Molecular Pathology 2 (1), 143-152, 2019
222019
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
212022
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
172018
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
142021
Treating cancer as an invasive species
J Noorbakhsh, ZM Zhao, JC Russell, JH Chuang
Molecular Cancer Research 18 (1), 20-26, 2020
112020
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
102023
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
72024
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
32023
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
22024
Abstract A032: Cellos: High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology
P Mukashyaka, P Kumar, DJ Mellert, S Nicholas, J Noorbakhsh, ...
Cancer Research 84 (3_Supplement_2), A032-A032, 2024
12024
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Artikler 1–20