Back to search

University of Illinois at Urbana-Champaign

A study of the dynamics and genetics of COVID-19 through machine learning

Abstract

dc:description

Made available in DSpace on 2020-10-07T21:00:08Z (GMT). No. of bitstreams: 2 BASU-THESIS-2020.pdf: 8657408 bytes, checksum: e0dd485d0d033acf8c9942a694001e59 (MD5) LICENSE.txt: 4211 bytes, checksum: 3ed590c7756836585331a86d192d7802 (MD5) Previous issue date: 2020-07-22

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Basu, Sayantani
Contributors dc:contributor
  • Campbell, Roy H

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • Copyright 2020 Sayantani Basu
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/108532
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/108532

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Basu, Sayantani. A study of the dynamics and genetics of COVID-19 through machine learning. Thesis thesis, University of Illinois at Urbana-Champaign, 2020. http://hdl.handle.net/2142/108532