Open AccessImaging-AMARETTO: An Imaging Genomics Software Tool to Interrogate Multiomics Networks for Relevance to Radiography and Histopathology Imaging Biomarkers of Clinical Outcomes
Author(s) -
Olivier Gevaert,
Mohsen Nabian,
Shaimaa Bakr,
Celine Everaert,
Jayendra Shinde,
Artur Manukyan,
Ted Liefeld,
Thorin Tabor,
Jishu Xu,
Joachim Lupberger,
Brian J. Haas,
Thomas F. Baumert,
Mikel Hernáez,
Michael Reich,
Francisco J. Quintana,
Erik J. Uhlmann,
Anna M. Krichevsky,
Jill P. Mesirov,
Vincent J. Carey,
Nathalie Pochet
Publication year - 2020
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.19.00125
Subject(s) - neuroimaging , radiogenomics , medicine , genomics , molecular imaging , medical imaging , pathology , bioinformatics , medical physics , computational biology , radiomics , biology , radiology , genome , biochemistry , microbiology and biotechnology , psychiatry , gene , in vivo
The availability of increasing volumes of multiomics, imaging, and clinical data in complex diseases such as cancer opens opportunities for the formulation and development of computational imaging genomics methods that can link multiomics, imaging, and clinical data.