Author

John Doench

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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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:genetic perturbation / CRISPR· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amy A. Deik· 1 shared Bridget K. WagneriD· 1 shared Clary B. Clish· 1 shared Elizaveta S. Leshchiner· 1 shared Haoxin LiiD· 1 shared Ian Smith· 1 shared Jennifer Listgarten· 1 shared Jesse S. BoehmiD· 1 shared

Activity by Year

2015-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

Amy A. Deik

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

HIF-2α drives an intrinsic vulnerability to ferroptosis in clear cell renal cell carcinoma

Yilong Zou, Michael J. Palte, Amy A. Deik, Haoxin Li, John K. Eaton, Wenyu Wang, Yuen-Yi Tseng, Rebecca Deasy, Maria Alimova, Vlado Dančík, Elizaveta S. Leshchiner, Vasanthi S. Viswanathan, Sabina Signoretti, Toni K. Choueiri, Jesse S. Boehm, , Stuart L. Schreiber

This paper identifies a vulnerability in clear-cell renal cell carcinoma cells to ferroptosis induced by GPX4 inhibition, driven by the HIF-2-HILPDA pathway and PUFA-lipid enrichment.

bioRxiv · Aug 9, 2018 · PreprintCancer Biology

In Silico Predictive Modeling of CRISPR/Cas9 guide efficiency

Nicolo Fusi, Ian Smith, John Doench, Jennifer Listgarten

The paper develops an in silico model to predict CRISPR/Cas9 guide RNA efficiency using experimental data and gradient-boosted regression trees.

bioRxiv · Jun 26, 2015 · PreprintBioinformatics