Author

Adam D. Kapelner

Queens College, CUNYORCID 0000-0001-5985-6792Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Caitrin ArmstrongiD· 1 shared David A. BenrimohiD· 1 shared Emily Snook· 1 shared Gustavo TureckiiD· 1 shared Joseph MehltretteriD· 1 shared Kelly PerlmaniD· 1 shared Marc Miresco· 1 shared Robert FratilaiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Caitrin ArmstrongORCID

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1 paper

Recent·Most cited

NeuroscienceComputational PsychiatryPeer-reviewedJan 1, 2020

Differential Treatment Benefit Prediction For Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data

Joseph Mehltretter, Robert Fratila, David A. Benrimoh…·Gustavo Turecki

The paper uses deep learning to predict differential treatment benefits for depression using STAR*D and CO-MED data, showing improved remission rates with model-guided treatment selection.

29 citations

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