Author

Jeffrey H. Chuang

The Jackson Laboratory - Cited by 4,562 - computational biology - physics - cancer - gene regulation - evolution

Biography

Jeffrey H. Chuang is working at  the Jackson Laboratory for Genomic Medicine, Farmington, CT, the USA interested in topics like- computational biology, physics, cancer, gene regulation, evolution. His research group uses computational approaches to study problems in cancer evolution and gene regulation. I have mentored scientists with backgrounds in molecular biology, mathematics, computer science, and physics. Researchers with strong quantitative skills but who are new to the field of computational biology are welcome to apply.
Title
Cited by
Year
Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts
XY Woo, J Giordano, A Srivastava, ZM Zhao, MW Lloyd, R de Bruijn, ...Nature genetics 53 (1), 86-99, 2021202
109
2021
A human breast cancer-derived xenograft and organoid platform for drug discovery and precision oncology
KP Guillen, M Fujita, AJ Butterfield, SD Scherer, MH Bailey, Z Chu, ...Nature cancer 3 (2), 232-250, 2022202
104
2022
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment
H Sun, S Cao, RJ Mashl, CK Mo, S Zaccaria, MC Wendl, SR Davies, ...Nature communications 12 (1), 5086, 2021202
44
2021
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
S Farahmand, AI Fernandez, FS Ahmed, DL Rimm, JH Chuang, ...Modern Pathology 35 (1), 44-51, 2022202
40
2022
The Clp1 R140H mutation alters tRNA metabolism and mRNA 3′ processing in mouse models of pontocerebellar hypoplasia
CE Monaghan, SI Adamson, M Kapur, JH Chuang, SL AckermanProceedings of the National Academy of Sciences 118 (39), e10730118, 202
21
2021
Defects in translation-dependent quality control pathways lead to convergent molecular and neurodevelopmental pathology
M Terrey, SI Adamson, JH Chuang, SL AckermanElife 10, e66904, 2021202
14
2021
Transcriptional profiling of macrophages in situ in metastatic melanoma reveals localization-dependent phenotypes and function
J Martinek, J Lin, KI Kim, VG Wang, TC Wu, M Chiorazzi, H Boruchov, ...Cell Reports Medicine 3 (5), 2022202
12
2022
Genetically diverse mouse platform to xenograft cancer cells
JK Sargent, MA Warner, BE Low, WH Schott, T Hoffert, D Coleman, ...Disease Models & Mechanisms 15 (9), dmm049457, 2022202
6
2022
PDXNet portal: patient-derived xenograft model, data, workflow and tool discovery
S Koc, MW Lloyd, JW Grover, N Xiao, S Seepo, SL Subramanian, M Ray, ...NAR cancer 4 (2), zcac014, 2022202
6
2022
Deep learning features encode interpretable morphologies within histological images
A Foroughi Pour, BS White, J Park, TB Sheridan, JH ChuangScientific Reports 12 (1), 9428, 2022202
5
2022
A path to translation: How 3D patient tumor avatars enable next generation precision oncology
M Barroso, MG Chheda, H Clevers, E Elez, S Kaochar, SE Kopetz, XN Li, ...Cancer cell 0 (12), 18-153, 2022202
4
2022
Human KIT+ myeloid cells facilitate visceral metastasis by melanoma
CI Yu, J Martinek, TC Wu, KI Kim, J George, E Ahmadzadeh, R Maser, ...Journal of Experimental Medicine 218 (6), e20182163, 2021202
4
2021
Author Correction: Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts
XY Woo, J Giordano, A Srivastava, ZM Zhao, MW Lloyd, R de Bruijn, ...Nature genetics 5 (5), 761-761, 2021202
3
2021
The effect of blurring on lung cancer subtype classification accuracy of convolutional neural networks
T Nair, JH Chuang2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020202
3
2020
Deep learning trained on H&E tumor ROIs predicts HER2 status and Trastuzumab treatment response in HER2+ breast cancer
Deep learning trained on H&E tumor ROIs predicts HER status and Trastuzumab treatment response in HER+ breast cancerS Farahmand, AI Fernandez, FS Ahmed, DL Rimm, JH Chuang, ...bioRxiv, 01.06. 14.448356, 010
2
2021
Cancer stem cells, not bulk tumor cells, determine mechanisms of resistance to SMO inhibitors
J George, Y Chen, N Abdelfattah, K Yamamoto, TD Gallup, SI Adamson, ...Cancer Research Communications 2 (6), 402-46, 2022202
1
2022
Regulated dicing of pre-mir-144 via reshaping of its terminal loop
Regulated dicing of pre-mir-44 via reshaping of its terminal loopR Shang, DA Kretov, SI Adamson, T Treiber, N Treiber, J Vedanayagam, ...Nucleic acids research 50 (3), 7637-7654, 2022202
1
2022
Deep learning image analysis quantifies tumor heterogeneity and identifies microsatellite instability in colon cancer
JC Rubinstein, A Foroughi Pour, J Zhou, TB Sheridan, BS White, ...Journal of Surgical Oncology 27 (3), 426-433, 2023202
1
2023

Referred From: https://scholar.google.com/citations?user=1ACTKxoAAAAJ&hl=en

Cited by
Citations 4562
h-index 35
i10-index 60
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