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Article: Machine Learning of Human Pluripotent Stem Cell-Derived Engineered Cardiac Tissue Contractility for Automated Drug Classification

TitleMachine Learning of Human Pluripotent Stem Cell-Derived Engineered Cardiac Tissue Contractility for Automated Drug Classification
Authors
Issue Date2017
PublisherElsevier (Cell Press): OAJ. The Journal's web site is located at http://stemcellreports.cell.com
Citation
Stem Cell Reports, 2017, v. 9 n. 5, p. 1560-1572 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/249570
ISSN
2017 Impact Factor: 6.537
2015 SCImago Journal Rankings: 5.523
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, EK-
dc.contributor.authorTran, DD-
dc.contributor.authorKeung, WWY-
dc.contributor.authorCHAN, KWP-
dc.contributor.authorWong, GK-
dc.contributor.authorChan, CW-
dc.contributor.authorCosta, KD-
dc.contributor.authorLi, RA-
dc.contributor.authorKhine, M-
dc.date.accessioned2017-11-21T03:04:04Z-
dc.date.available2017-11-21T03:04:04Z-
dc.date.issued2017-
dc.identifier.citationStem Cell Reports, 2017, v. 9 n. 5, p. 1560-1572-
dc.identifier.issn2213-6711-
dc.identifier.urihttp://hdl.handle.net/10722/249570-
dc.languageeng-
dc.publisherElsevier (Cell Press): OAJ. The Journal's web site is located at http://stemcellreports.cell.com-
dc.relation.ispartofStem Cell Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMachine Learning of Human Pluripotent Stem Cell-Derived Engineered Cardiac Tissue Contractility for Automated Drug Classification-
dc.typeArticle-
dc.identifier.emailKeung, WWY: wkeung@hku.hk-
dc.identifier.emailLi, RA: ronaldli@hkucc.hku.hk-
dc.identifier.authorityKeung, WWY=rp01887-
dc.identifier.authorityLi, RA=rp01352-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.stemcr.2017.09.008-
dc.identifier.hkuros283162-
dc.identifier.volume9-
dc.identifier.issue5-
dc.identifier.spage1560-
dc.identifier.epage1572-
dc.identifier.isiWOS:000415139400020-
dc.publisher.placeUnited States-

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