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Javad Noorbakhsh
Javad Noorbakhsh
Principal Scientist, Kojin Therapeutics
Verified email at bu.edu
Title
Cited by
Cited by
Year
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
3832019
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
1412020
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
1082020
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
722015
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
652019
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
482015
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
482014
Intrinsic noise of microRNA-regulated genes and the ceRNA hypothesis
J Noorbakhsh, AH Lang, P Mehta
PLoS One 8 (8), e72676, 2013
392013
Uncertainties in tumor allele frequencies limit power to infer evolutionary pressures
J Noorbakhsh, JH Chuang
Nature genetics 49 (9), 1288, 2017
312017
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
222018
Machine learning in biology and medicine
J Noorbakhsh, H Chandok, RKM Karuturi, J George
Advances in Molecular Pathology 2 (1), 143-152, 2019
192019
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
152018
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
132022
Treating cancer as an invasive species
J Noorbakhsh, ZM Zhao, JC Russell, JH Chuang
Molecular Cancer Research 18 (1), 20-26, 2020
102020
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
72021
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
22023
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, J Dempster, ...
bioRxiv, 2022.11. 18.517155, 2022
12022
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
12021
Integrative deep learning for PanCancer molecular subtype classification using histopathological images and RNAseq data
F Zare, J Noorbakhsh, T Wang, JH Chuang, S Nabavi
Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020
12020
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
12018
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