Author

J. Guinney

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3 Pharmacology & Toxicology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 5 Research Focus:drug response / drug discovery· 4 Organism:human· 4 Research Focus:benchmarking· 3 Approach:benchmark study· 2 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Assay:proteomics· 2

Frequent Co-Authors

R. J. Allaway· 4 shared A. Schlessinger· 2 shared F. Wan· 2 shared J. Banerjee· 2 shared J. Kang· 2 shared J. TangiD· 2 shared J. Zeng· 2 shared M. Jeon· 2 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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4 shared papersCancer Biology

R. J. Allaway

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Author profile →

6 papers

Recent·Most cited

A Community Challenge to Predict Clinical Outcomes After Immune Checkpoint Blockade in Non-Small Cell Lung Cancer

M. Mason, O. Lapuente-Santana, A. S. Halkola, W. Wang, R. Mall, X. Xiao, J. Kaufman, J. Fu, J. Pfeil, J. Banerjee, V. Chung, H. Chang, S. D. Chasalow, H. Y. Lin, R. Chai, , B. G. Vincent

The paper evaluates predictive models for immune checkpoint inhibitor outcomes in NSCLC using clinical trial data from two RCTs, finding that models combining PD-L1, TMB, and immune signatures outperform single biomarkers.

Journal of Translational Medicine · Feb 21, 2024Peer-reviewedCancer Biology

Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: the Multi-Targeting Drug DREAM Challenge

Z. Xiong, M. Jeon, R. J. Allaway, J. Kang, D. Park, J. Lee, H. Jeon, M. Ko, H. Jiang, M. Zheng, A. C. Tan, X. Guo, The Multi-Targeting Drug DREAM Challenge Community, K. K. Dang, A. Tropsha, , R. Cagan

The paper reports on a DREAM Challenge to predict multi-target kinase inhibitors for RET-based tumors and Tauopathy, using neural network-based machine learning approaches.

bioRxiv · Feb 15, 2021Pharmacology & Toxicology

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

E. F. Douglass, R. J. Allaway, B. Szalai, W. Wang, T. Tian, A. Fernandez-Torras, R. Realubit, C. Karan, S. Zheng, A. Pessia, Z. Tanoli, M. Jafari, F. Wan, S. Li, Y. Xiong, , A. Califano

The paper hosts a DREAM Challenge to evaluate computational models for predicting drug polypharmacology using perturbational profile data from 32 kinase inhibitors.

bioRxiv · Dec 21, 2020Cancer Biology

Crowdsourced mapping of unexplored target space of kinase inhibitors

A. Cichonska, B. Ravikumar, R. J. Allaway, S. Park, F. Wan, O. Isayev, S. Li, M. J. Mason, A. Lamb, Z.-u.-R. Tanoli, M. Jeon, S. Kim, M. Popova, S. Capuzzi, J. Zeng, , T. Aittokallio

The paper benchmarks predictive models for kinase inhibitor potencies using crowdsourced data and identifies new compound-kinase interactions.

bioRxiv · Dec 31, 2019Biochemistry

A clinically and genomically annotated nerve sheath tumor biospecimen repository.

K. Pollard, J. Banerjee, X. Doan, J. Wang, X. Guo, R. J. Allaway, S. Langmead, B. Slobogean, C. Meyer, D. Loeb, C. Morris, A. Belzberg, J. O. Blakeley, F. Rodriguez, J. Guinney, , C. A. Pratilas

The paper establishes a clinically and genomically annotated nerve sheath tumor biospecimen repository to support research on NF1-related tumors.

bioRxiv · Dec 19, 2019Cancer Biology

Probing the chemical-biological relationship space with the Drug Target Explorer

R. Allaway, S. La Rosa, J. Guinney, S. J. Gosline

The paper introduces a web tool to explore chemical-biological interactions, enabling users to query compounds, visualize networks, and compare with HTS data for drug development.

bioRxiv · May 3, 2018Pharmacology & Toxicology