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David Fenyö

Researcher at New York University

Publications -  283
Citations -  19130

David Fenyö is an academic researcher from New York University. The author has contributed to research in topics: Mass spectrometry & Proteogenomics. The author has an hindex of 55, co-authored 262 publications receiving 14183 citations. Previous affiliations of David Fenyö include Rockefeller University & University of California, Santa Cruz.

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Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

TL;DR: A deep convolutional neural network model is trained on whole-slide images obtained from The Cancer Genome Atlas to accurately and automatically classify them into LUAD, LUSC or normal lung tissue and predicts the ten most commonly mutated genes in LUAD.
Journal ArticleDOI

Proteogenomic characterization of human colon and rectal cancer

Bing Zhang, +64 more
- 18 Sep 2014 - 
TL;DR: Integrated proteogenomic analysis provides functional context to interpret genomic abnormalities and affords a new paradigm for understanding cancer biology.
Journal ArticleDOI

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

TL;DR: A view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC is provided.