Prediction of ovarian cancer with deep machine-learning and alternative splicing (2167)

Abstract

Open access

Peer reviewed

Rachel Watson, Keely Ulmer, Sofia Gabrilovich, Michael Goodheart, David Bender, Megan McDonald, Eric Devor and Jesus Gonzalez Bosquet

Gynecologic oncology, Vol.176(Suppl. 1), p.S236

09/2023

DOI: 10.1016/j.ygyno.2023.06.289

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https://doi.org/10.1016/j.ygyno.2023.06.289View

Published (Version of record) Open Access

Title: Subtitle: Prediction of ovarian cancer with deep machine-learning and alternative splicing (2167)
Creators: Rachel Watson
Keely Ulmer - University of Iowa
Sofia Gabrilovich - University of Iowa
Michael Goodheart - University of Iowa
David Bender - University of Iowa
Megan McDonald - University of Iowa
Eric Devor - University of Iowa
Jesus Gonzalez Bosquet - University of Iowa
Resource Type: Abstract
Publication Details: Gynecologic oncology, Vol.176(Suppl. 1), p.S236
DOI: 10.1016/j.ygyno.2023.06.289
ISSN: 0090-8258
eISSN: 1095-6859
Language: English
Date published: 09/2023
Academic Unit: Obstetrics and Gynecology
Record Identifier: 9984472658002771

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