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University of Illinois at Urbana-Champaign
A study of the dynamics and genetics of COVID-19 through machine learning
Abstract
dc:descriptionMade 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 × 7Rights
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