Computational Analysis of Transcriptomic and
Proteomic Data for Deciphering Molecular
Heterogeneity and Drug Responsiveness in Model
Human Hepatocellular Carcinoma Cell Lines

Αγιουτάντης, Παναγιώτης

dc.contributor.author	Αγιουτάντης, Παναγιώτης
dc.date.accessioned	2025-11-26T09:12:59Z
dc.date.available	2025-11-26T09:12:59Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/62941
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.30637
dc.rights	Default License
dc.subject	ηπατοκυτταρικό καρκίνωμα	el
dc.subject	μοριακή ετερογένεια	el
dc.subject	μεταγραφωμική	el
dc.subject	πρωτεωμική	el
dc.title	Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines	en
heal.type	journalArticle
heal.classification	Υπολογιστική Βιολογία - Βιοπληροφορική	el
heal.language	en
heal.access	campus
heal.recordProvider	ntua	el
heal.publicationDate	2020-06-05
heal.bibliographicCitation	Agioutantis, P.C.; Loutrari, H.; Kolisis, F.N. Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines. Genes 2020, 11, 623. https://doi.org/10.3390/genes11060623	el
heal.publisher	MDPI	el
heal.journalName	Genes	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	false