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Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning.

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Title: Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning.
Authors: Rezapour M; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, 27101, USA. mrezapou@wakehealth.edu., Narayanan A; Department of Biology, George Mason University, Fairfax, VA, 22030, USA., Mowery WH; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA., Gurcan MN; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, 27101, USA.
Source: BMC genomics [BMC Genomics] 2025 Apr 10; Vol. 26 (1), pp. 358. Date of Electronic Publication: 2025 Apr 10.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE
Database: MEDLINE Ultimate
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              Text: 2025 Apr 10
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