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Singular value decomposition for genome-wide expression data processing and modeling (Q29618495)

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    Singular value decomposition for genome-wide expression data processing and modeling
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      title
      Singular value decomposition for genome-wide expression data processing and modeling (English)
      1 reference
      stated in
      PubMed
      reference URL
      https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&retmode=json&id=10963673
      retrieved
      30 April 2017
      main subject
      eigengene
      3 references
      based on heuristic
      inferred from abstract
      quotation
      We describe the use of singular value decomposition in transforming genome-wide expression data from genes × arrays space to reduced diagonalized “eigengenes” × “eigenarrays” space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or arrays). (English)
      Wikimedia import URL
      https://en.wiktionary.org/wiki/eigengene
      Wikimedia import URL
      https://en.wiktionary.org/wiki/Citations:eigengene
      described by source
      National Academies of Sciences, Engineering, and Medicine
      title
      National Research Council, Mathematics and 21st Century Biology. Washington, DC: National Academies Press (July 2005), 149 pp. (English)
      1 reference
      reference URL
      https://nap.nationalacademies.org/catalog/11315/mathematics-and-21st-century-biology
      Google Scholar
      title
      9th most cited Proceedings of the National Academy of Sciences (PNAS) USA paper of the year 2000 and 56th most cited PNAS paper of all time. (English)
      retrieved
      26 August 2022
      1 reference
      reference URL
      https://scholar.google.com/scholar?as_q=&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=&as_publication=Proceedings+of+the+National+Academy+of+Sciences&as_ylo=2000&as_yhi=2000&hl=en
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      Identifiers

      JSTOR article ID
      123320
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