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