LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study.

Bruno Ambrozio; Luca Longo; Lucas Rizzo

LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study.

Bruno Ambrozio
, Luca Longo
, Lucas Rizzo

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Original language	Undefined/Unknown
Title of host publication	AICS
Pages	25-36
Number of pages	12
Publication status	Published - 2020

Access to Document

Cite this

@inproceedings{3caef261975c4ad99c586ec8949f3373,

title = "LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study.",

author = "Bruno Ambrozio and Luca Longo and Lucas Rizzo",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2020",

language = "Undefined/Unknown",

pages = "25--36",

booktitle = "AICS",

}

TY - GEN

T1 - LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study.

AU - Ambrozio, Bruno

AU - Longo, Luca

AU - Rizzo, Lucas

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

M3 - Conference proceeding

SP - 25

EP - 36

BT - AICS

ER -