Prediction of high-grade serous ovarian cancer (HGSC) using DNA methylation patterns with deep machine learning (ML) (032)

Abstract

Open access

Peer reviewed

Sofia Gabrilovich, Henry Reyes, Megan McDonald, Katharine Linder, Keely Ulmer, David Bender, Michael Goodheart and Jesus Gonzalez Bosquet

Gynecologic oncology, Vol.176(Suppl. 1), p.S24

09/2023

DOI: 10.1016/j.ygyno.2023.06.497

Files and links (1)

url

https://doi.org/10.1016/j.ygyno.2023.06.497View

Published (Version of record) Open Access

Title: Subtitle: Prediction of high-grade serous ovarian cancer (HGSC) using DNA methylation patterns with deep machine learning (ML) (032)
Creators: Sofia Gabrilovich - University of Iowa Hospitals and Clinics
Henry Reyes
Megan McDonald - University of Iowa
Katharine Linder - University of Iowa
Keely Ulmer - University of Iowa
David Bender - University of Iowa
Michael Goodheart - University of Iowa
Jesus Gonzalez Bosquet - University of Iowa
Resource Type: Abstract
Publication Details: Gynecologic oncology, Vol.176(Suppl. 1), p.S24
DOI: 10.1016/j.ygyno.2023.06.497
ISSN: 0090-8258
eISSN: 1095-6859
Language: English
Date published: 09/2023
Academic Unit: Obstetrics and Gynecology
Record Identifier: 9984472535802771

17 Record Views