Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.

Saved in:
Bibliographic Details
Title: Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.
Authors: Gardiner LJ; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom; laura-jayne.gardiner@ibm.com., Rusholme-Pilcher R; Earlham Institute, Norwich NR4 7UZ, United Kingdom., Colmer J; Earlham Institute, Norwich NR4 7UZ, United Kingdom., Rees H; Earlham Institute, Norwich NR4 7UZ, United Kingdom., Crescente JM; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom.; Consejo Nacional de Investigaciones Científicas y Técnicas, C1425FQB Buenos Aires, Argentina., Carrieri AP; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom., Duncan S; Earlham Institute, Norwich NR4 7UZ, United Kingdom., Pyzer-Knapp EO; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom., Krishna R; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom., Hall A; Earlham Institute, Norwich NR4 7UZ, United Kingdom.; School of Biological Sciences, University of East Anglia, Norwich NR4 7TJ, United Kingdom.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2021 Aug 10; Vol. 118 (32).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 34353905
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Gardiner+LJ%22">Gardiner LJ</searchLink>; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom; laura-jayne.gardiner@ibm.com.<br /><searchLink fieldCode="AU" term="%22Rusholme-Pilcher+R%22">Rusholme-Pilcher R</searchLink>; Earlham Institute, Norwich NR4 7UZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Colmer+J%22">Colmer J</searchLink>; Earlham Institute, Norwich NR4 7UZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Rees+H%22">Rees H</searchLink>; Earlham Institute, Norwich NR4 7UZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Crescente+JM%22">Crescente JM</searchLink>; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom.; Consejo Nacional de Investigaciones Científicas y Técnicas, C1425FQB Buenos Aires, Argentina.<br /><searchLink fieldCode="AU" term="%22Carrieri+AP%22">Carrieri AP</searchLink>; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Duncan+S%22">Duncan S</searchLink>; Earlham Institute, Norwich NR4 7UZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Pyzer-Knapp+EO%22">Pyzer-Knapp EO</searchLink>; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Krishna+R%22">Krishna R</searchLink>; IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Hall+A%22">Hall A</searchLink>; Earlham Institute, Norwich NR4 7UZ, United Kingdom.; School of Biological Sciences, University of East Anglia, Norwich NR4 7TJ, United Kingdom.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227505876%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink> [Proc Natl Acad Sci U S A] 2021 Aug 10; Vol. 118 (32).
– 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="%22National+Academy+of+Sciences%22">National Academy of Sciences </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7505876 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1091-6490 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200278424%22">00278424 </searchLink><i>NLM ISO Abbreviation: </i>Proc Natl Acad Sci U S A <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34353905
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1073/pnas.2103070118
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gardiner LJ
      – PersonEntity:
          Name:
            NameFull: Rusholme-Pilcher R
      – PersonEntity:
          Name:
            NameFull: Colmer J
      – PersonEntity:
          Name:
            NameFull: Rees H
      – PersonEntity:
          Name:
            NameFull: Crescente JM
      – PersonEntity:
          Name:
            NameFull: Carrieri AP
      – PersonEntity:
          Name:
            NameFull: Duncan S
      – PersonEntity:
          Name:
            NameFull: Pyzer-Knapp EO
      – PersonEntity:
          Name:
            NameFull: Krishna R
      – PersonEntity:
          Name:
            NameFull: Hall A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 10
              M: 08
              Text: 2021 Aug 10
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 1091-6490
          Numbering:
            – Type: volume
              Value: 118
            – Type: issue
              Value: 32
          Titles:
            – TitleFull: Proceedings of the National Academy of Sciences of the United States of America
              Type: main
ResultId 1