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Identifying keystone species in microbial communities using deep learning.

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Bibliographic Details
Title: Identifying keystone species in microbial communities using deep learning.
Authors: Wang XW, Sun Z, Jia H, Michel-Mata S, Angulo MT, Dai L, He X, Weiss ST, Liu YY
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Mar 31. Date of Electronic Publication: 2023 Mar 31.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36993659
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Identifying keystone species in microbial communities using deep learning.
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  Data: <searchLink fieldCode="AU" term="%22Wang+XW%22">Wang XW</searchLink><br /><searchLink fieldCode="AU" term="%22Sun+Z%22">Sun Z</searchLink><br /><searchLink fieldCode="AU" term="%22Jia+H%22">Jia H</searchLink><br /><searchLink fieldCode="AU" term="%22Michel-Mata+S%22">Michel-Mata S</searchLink><br /><searchLink fieldCode="AU" term="%22Angulo+MT%22">Angulo MT</searchLink><br /><searchLink fieldCode="AU" term="%22Dai+L%22">Dai L</searchLink><br /><searchLink fieldCode="AU" term="%22He+X%22">He X</searchLink><br /><searchLink fieldCode="AU" term="%22Weiss+ST%22">Weiss ST</searchLink><br /><searchLink fieldCode="AU" term="%22Liu+YY%22">Liu YY</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2023 Mar 31. <i>Date of Electronic Publication: </i>2023 Mar 31.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36993659
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1101/2023.03.15.532858
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Identifying keystone species in microbial communities using deep learning.
        Type: main
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          Name:
            NameFull: Wang XW
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            NameFull: Sun Z
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            NameFull: Michel-Mata S
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            NameFull: He X
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            NameFull: Weiss ST
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          Dates:
            – D: 31
              M: 03
              Text: 2023 Mar 31
              Type: published
              Y: 2023
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