MARC보기
LDR01685nam u200457 4500
001000000468109
00520220223113302
008220131s2021 us ||||||||||||||c||eng d
020 ▼a 9798460430772
035 ▼a (MiAaPQ)AAI28547428
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 519
1001 ▼a Tang, Catherine.
24510 ▼a Using Machine Learning to Identify Key Features of Diversity in Antibody (Immunoglobulin) Variable Genes.
260 ▼a [S.l.]: ▼b State University of New York at Stony Brook., ▼c 2021.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2021.
300 ▼a 129 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
500 ▼a Advisor: MacCarthy, Thomas.
5021 ▼a Thesis (Ph.D.)--State University of New York at Stony Brook, 2021.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0771.
650 4 ▼a Applied mathematics.
650 4 ▼a Immunology.
650 4 ▼a Bioinformatics.
690 ▼a 0364
690 ▼a 0982
690 ▼a 0715
71020 ▼a State University of New York at Stony Brook. ▼b Applied Mathematics and Statistics.
7730 ▼t Dissertations Abstracts International ▼g 83-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0771
791 ▼a Ph.D.
792 ▼a 2021
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16052833 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202202 ▼f 2022
990 ▼a ***1012033
991 ▼a E-BOOK