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TCellR2Vec: efficient feature selection for TCR sequences for cancer classification.

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Bibliographic Details
Title: TCellR2Vec: efficient feature selection for TCR sequences for cancer classification.
Authors: Tayebi, Zahra1, Ali, Sarwan1, Patterson, Murray1, mpatterson30@gsu.edu
Source: PeerJ Computer Science; Nov2024, p1-28, 28p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181524274
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: TCellR2Vec: efficient feature selection for TCR sequences for cancer classification.
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  Data: <searchLink fieldCode="AU" term="%22Tayebi%2C+Zahra%22">Tayebi, Zahra</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ali%2C+Sarwan%22">Ali, Sarwan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Patterson%2C+Murray%22">Patterson, Murray</searchLink><relatesTo>1</relatesTo>, <i>mpatterson30@gsu.edu</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181524274
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    Identifiers:
      – Type: doi
        Value: 10.7717/peerj-cs.2239
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 1
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      – TitleFull: TCellR2Vec: efficient feature selection for TCR sequences for cancer classification.
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            NameFull: Tayebi, Zahra
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            NameFull: Ali, Sarwan
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            NameFull: Patterson, Murray
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            – D: 01
              M: 11
              Text: Nov2024
              Type: published
              Y: 2024
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