View in EDS

Optimising the use of gene expression data to predict plant metabolic pathway memberships.

Saved in:
Bibliographic Details
Title: Optimising the use of gene expression data to predict plant metabolic pathway memberships.
Authors: Wang P; Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA., Moore BM; Department of Botany, University of Wisconsin-Madison, Madison, WI, 53706, USA., Uygun S; Agendia Inc., Irvine, CA, 92618, USA., Lehti-Shiu MD; Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA., Barry CS; Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA., Shiu SH; Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA.; Department of Computational Mathematics, Science, and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Source: The New phytologist [New Phytol] 2021 Jul; Vol. 231 (1), pp. 475-489. Date of Electronic Publication: 2021 May 01.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Wiley on behalf of New Phytologist Trust Country of Publication: England NLM ID: 9882884 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-8137 (Electronic) Linking ISSN: 0028646X NLM ISO Abbreviation: New Phytol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 33749860
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimising the use of gene expression data to predict plant metabolic pathway memberships.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wang+P%22">Wang P</searchLink>; Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA.<br /><searchLink fieldCode="AU" term="%22Moore+BM%22">Moore BM</searchLink>; Department of Botany, University of Wisconsin-Madison, Madison, WI, 53706, USA.<br /><searchLink fieldCode="AU" term="%22Uygun+S%22">Uygun S</searchLink>; Agendia Inc., Irvine, CA, 92618, USA.<br /><searchLink fieldCode="AU" term="%22Lehti-Shiu+MD%22">Lehti-Shiu MD</searchLink>; Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA.<br /><searchLink fieldCode="AU" term="%22Barry+CS%22">Barry CS</searchLink>; Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA.<br /><searchLink fieldCode="AU" term="%22Shiu+SH%22">Shiu SH</searchLink>; Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA.; Department of Computational Mathematics, Science, and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229882884%22">The New phytologist</searchLink> [New Phytol] 2021 Jul; Vol. 231 (1), pp. 475-489. <i>Date of Electronic Publication: </i>2021 May 01.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley+on+behalf+of+New+Phytologist+Trust%22">Wiley on behalf of New Phytologist Trust </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9882884 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-8137 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220028646X%22">0028646X </searchLink><i>NLM ISO Abbreviation: </i>New Phytol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33749860
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/nph.17355
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 475
    Titles:
      – TitleFull: Optimising the use of gene expression data to predict plant metabolic pathway memberships.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang P
      – PersonEntity:
          Name:
            NameFull: Moore BM
      – PersonEntity:
          Name:
            NameFull: Uygun S
      – PersonEntity:
          Name:
            NameFull: Lehti-Shiu MD
      – PersonEntity:
          Name:
            NameFull: Barry CS
      – PersonEntity:
          Name:
            NameFull: Shiu SH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2021 Jul
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 1469-8137
          Numbering:
            – Type: volume
              Value: 231
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: The New phytologist
              Type: main
ResultId 1