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postgraduate thesis: Dynamic network analysis for time-course gene expression microarray and fMRI-based brain connectivity data

TitleDynamic network analysis for time-course gene expression microarray and fMRI-based brain connectivity data
Authors
Advisors
Advisor(s):Chan, SC
Issue Date2016
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Zhang, L. [張力]. (2016). Dynamic network analysis for time-course gene expression microarray and fMRI-based brain connectivity data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeDoctor of Philosophy
SubjectDNA microarrays
Gene expression
Magnetic resonance imaging - Brain
Dept/ProgramElectrical and Electronic Engineering
Persistent Identifierhttp://hdl.handle.net/10722/267775

 

DC FieldValueLanguage
dc.contributor.advisorChan, SC-
dc.contributor.authorZhang, Li-
dc.contributor.author張力-
dc.date.accessioned2019-03-01T03:44:49Z-
dc.date.available2019-03-01T03:44:49Z-
dc.date.issued2016-
dc.identifier.citationZhang, L. [張力]. (2016). Dynamic network analysis for time-course gene expression microarray and fMRI-based brain connectivity data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/267775-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshDNA microarrays-
dc.subject.lcshGene expression-
dc.subject.lcshMagnetic resonance imaging - Brain-
dc.titleDynamic network analysis for time-course gene expression microarray and fMRI-based brain connectivity data-
dc.typePG_Thesis-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineElectrical and Electronic Engineering-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2017-
dc.identifier.mmsid991044081528003414-

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