Selwyn Jacob
New York Stem Cell Foundation
3 Papers
3 Citations
Selwyn Jacob is an academic researcher from New York Stem Cell Foundation. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 1, co-authored 1 publications.
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Papers
Modeling gene × environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression
Carina Seah,Michael S. Breen,Tomasz Rusielewicz,Heather N. Bader,Changxin Xu,Christopher J. Hunter,Barry McCarthy,P. M. Deans,Mitali Chattopadhyay,Jordan Goldberg,Frank Desarnaud,Iouri Makotkine,Janine D. Flory,Linda M. Bierer,Migle Staniskyte,Lauren Bauer,Katie Brenner,Geoff Buckley-Herd,Sean DesMarteau,Patrick Fenton,Peter Ferrarotto,Jenna Hall,Selwyn Jacob,Travis Kroeker,Gregory Lallos,H. Martínez,Paull McCoy,Frederick J. Monsma,Dorota Moroziewicz,Reid Otto,Kathryn S. Reggio,Bruce Sun,Rebecca Tibbets,Dong-Woo Shin,Hongyan Zhou,Matthew Zimmer,Scott Noggle,Laura M. Huckins,Daniel Paull,Kristen J. Brennand,Rachel Yehuda +40 more
TL;DR: This article found evidence of a coregulated network of transcription factors that mediates glucocorticoid hyper-responsivity in post-traumatic stress disorder (PTSD) using human induced pluripotent stem cell (hiPSC)-derived glutamatergic neurons and peripheral blood mononuclear cells (PBMCs).
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
Lauren Schiff,Bianca Migliori,Ye Chen,Deidre Carter,Caitlyn Bonilla,Jenna Hall,Minjie Fan,Edmund Tam,Sara Ahadi,Brodie Fischbacher,Anton Geraschenko,Christopher J. Hunter,Subhashini Venugopalan,Sean DesMarteau,Arunachalam Narayanaswamy,Selwyn Jacob,Zan Armstrong,Peter Ferrarotto,Brian Williams,Geoff Buckley-Herd,Jon Hazard,Jordan Goldberg,Marc Coram,Reid Otto,Edward A. Baltz,Laura Andres-Martin,Orion Pritchard,Alyssa Duren-Lubanski,Ameya Daigavane,Kathryn Reggio,Lauren Bauer,Raeka S. Aiyar,Elizabeth Schwarzbach,Daniel Paull,Scott Noggle,Frederick J. Monsma,Marc Berndl,Samuel Yang,Bjarki Johannesson +38 more
TL;DR: In this article, an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, cell painting, and deep learning is presented. But the platform is not suitable for the detection of individual-specific variation with high fidelity across batches and plate layouts.
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
Lauren Schiff,Bianca Migliori,Ye Chen,Deidre Lynn Carter,Caitlyn Bonilla,Jenna Hall,Minjie Fan,Edmund Tam,Sara Ahadi,Brodie Fischbacher,Anton Geraschenko,Christopher J. Hunter,Subhashini Venugopalan,Sean DesMarteau,Arunachalam Narayanaswamy,Selwyn Jacob,Zan Armstrong,Peter Ferrarotto,Brian Williams,Geoff Buckley-Herd,Jon Hazard,Jordan Goldberg,Marc Coram,Reid Otto,Edward A. Baltz,Laura Andres-Martin,Orion Pritchard,Alyssa Duren-Lubanski,Ameya Daigavane,Kathryn S. Reggio,Lauren Bauer,Raeka S. Aiyar,Elizabeth Schwarzbach,Daniel Paull,Scott Noggle,Frederick J. Monsma,Marc Berndl,Samuel Yang,Bjarki Johannesson +38 more
TL;DR: In this article , an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and deep learning was presented to detect individual-specific variation with high fidelity across batches and plate layouts.