Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods-Reference-Cited by-同舟云学术

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

Published:2022-07 Issue: Volume:146 Page:105426
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Saberi-Movahed Farshad^ORCID,Mohammadifard Mahyar,Mehrpooya Adel^ORCID,Rezaei-Ravari Mohammad,Berahmand Kamal,Rostami Mehrdad,Karami Saeed,Najafzadeh Mohammad,Hajinezhad Davood^ORCID,Jamshidi Mina,Abedi Farshid,Mohammadifard Mahtab,Farbod Elnaz,Safavi Farinaz,Dorvash Mohammadreza^ORCID,Mottaghi-Dastjerdi Negar,Vahedi Shahrzad,Eftekhari Mahdi,Saberi-Movahed Farid,Alinejad-Rokny Hamid,Band Shahab S.,Tavassoly Iman

Funder

National Science Foundation

Iran National Science Foundation

National Institutes of Health

National Institute of Neurological Disorders and Stroke

Gordon and Betty Moore Foundation

Kavli Institute for Theoretical Physics, University of California, Santa Barbara

Academy of Finland

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications