Feature-Ranking Methods for RNA Sequencing Data

Karetla, GR Nguyen, QV Simoff, SJ Catchpoole, DR Kennedy, PJ

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Publisher:: Taylor & Francis
Publication Type:: Chapter
Citation:: Data Driven Science for Clinically Actionable Knowledge in Diseases, 2023, pp. 129-145
Issue Date:: 2023-10-05

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Field	Value	Language
dc.contributor.author	Karetla, GR
dc.contributor.author	Nguyen, QV
dc.contributor.author	Simoff, SJ
dc.contributor.author	Catchpoole, DR
dc.contributor.author	Kennedy, PJ
dc.date.accessioned	2024-03-14T01:54:43Z
dc.date.available	2024-03-14T01:54:43Z
dc.date.issued	2023-10-05
dc.identifier.citation	Data Driven Science for Clinically Actionable Knowledge in Diseases, 2023, pp. 129-145
dc.identifier.uri	http://hdl.handle.net/10453/176678
dc.language	en
dc.publisher	Taylor & Francis
dc.relation.ispartof	Data Driven Science for Clinically Actionable Knowledge in Diseases
dc.relation.isbasedon	10.1201/9781003292357-6
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Feature-Ranking Methods for RNA Sequencing Data
dc.type	Chapter
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-14T01:54:42Z
pubs.publication-status	Published

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