Application of Raman spectroscopy and machine learning for Candida auris identification and characterization.

Saved in:
Bibliographic Details
Title: Application of Raman spectroscopy and machine learning for Candida auris identification and characterization.
Authors: Xue J; Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China., Yue H; Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.; Beijing Key Laboratory of Basic Research With Traditional Chinese Medicine on Infectious Diseases, Beijing Institute of Chinese Medicine, Beijing, China., Lu W; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China., Li Y; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China., Huang G; Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China., Fu YV; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China.
Source: Applied and environmental microbiology [Appl Environ Microbiol] 2024 Nov 20; Vol. 90 (11), pp. e0102524. Date of Electronic Publication: 2024 Oct 29.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 7605801 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-5336 (Electronic) Linking ISSN: 00992240 NLM ISO Abbreviation: Appl Environ Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39470219
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of Raman spectroscopy and machine learning for Candida auris identification and characterization.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Xue+J%22">Xue J</searchLink>; Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yue+H%22">Yue H</searchLink>; Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.; Beijing Key Laboratory of Basic Research With Traditional Chinese Medicine on Infectious Diseases, Beijing Institute of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Lu+W%22">Lu W</searchLink>; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Huang+G%22">Huang G</searchLink>; Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Fu+YV%22">Fu YV</searchLink>; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227605801%22">Applied and environmental microbiology</searchLink> [Appl Environ Microbiol] 2024 Nov 20; Vol. 90 (11), pp. e0102524. <i>Date of Electronic Publication: </i>2024 Oct 29.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Society+for+Microbiology%22">American Society for Microbiology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7605801 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1098-5336 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200992240%22">00992240 </searchLink><i>NLM ISO Abbreviation: </i>Appl Environ Microbiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39470219
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1128/aem.01025-24
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0102524
    Titles:
      – TitleFull: Application of Raman spectroscopy and machine learning for Candida auris identification and characterization.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xue J
      – PersonEntity:
          Name:
            NameFull: Yue H
      – PersonEntity:
          Name:
            NameFull: Lu W
      – PersonEntity:
          Name:
            NameFull: Li Y
      – PersonEntity:
          Name:
            NameFull: Huang G
      – PersonEntity:
          Name:
            NameFull: Fu YV
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 11
              Text: 2024 Nov 20
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1098-5336
          Numbering:
            – Type: volume
              Value: 90
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Applied and environmental microbiology
              Type: main
ResultId 1