@article{02e67e98bf9e424291ca7a2233b8a90c,
title = "Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks",
keywords = "Genome-wide Association Study, Machine Learning, Network Representation Learning",
author = "{VA Million Veteran Program} and Minsu Kim and Huffman, {Jennifer E.} and Amy Justice and Ian Goethert and Greeshma Agasthya and Yan Sun and Rachel McArdle and Louis Dellitalia and Brady Stephens and Kelly Cho and Saiju Pyarajan and Kristin Mattocks and John Harley and Jeffrey Whittle and Roy Mathew and Jean Beckham and River Smith and John Wells and Salvador Gutierrez and Kimberly Hammer and Pran Iruvanti and Zuhair Ballas and Stephen Mastorides and Jonathan Moorman and Saib Gappy and Jon Klein and Nora Ratcliffe and Ana Palacio and Olaoluwa Okusaga and Maureen Murdoch and Peruvemba Sriram and Argyres, {Dean P.} and Todd Connor and Gerardo Villareal and Scott Kinlay and Yeh, {Shing Shing} and Darshana Jhala and Neeraj Tandon and Chang, {Kyong Mi} and Samuel Aguayo and David Cohen and Satish Sharma and Mark Hamner and Suthat Liangpunsakul and Michael Godschalk and Oursler, {Kris Ann} and Mary Whooley and Jennifer Greco and Sunil Ahuja and Joseph Constans",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
doi = "10.1186/s12920-022-01298-6",
language = "English",
volume = "15",
journal = "BMC Medical Genomics",
issn = "1755-8794",
number = "1",
}