dc.contributor.authorSeah, Boon Siew
dc.date.accessioned2014-05-29T03:29:53Z
dc.date.accessioned2017-07-23T08:44:55Z
dc.date.available2014-05-29T03:29:53Z
dc.date.available2017-07-23T08:44:55Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.citationSeah, B. S. (2014). Multi-resolution functional summarization and alignment of biological network models. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/60641
dc.description.abstractThe desire to study biology from a systems perspective has led to an emergence of new science - biological networks analysis. Biological network models biological entities (e.g., proteins and genes) and their relationships (e.g., physical and genetic interactions) to characterize their cooperative activity within a system. With the rapid growth of network data, the information overload problem arises and human interpretation of such data becomes impossible. Hence, there is urgent need to construct methods for large-scale functional visualization of biological networks to understand the mechanics of biological systems.en_US
dc.format.extent245 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleMulti-resolution functional summarization and alignment of biological network modelsen_US
dc.typeThesis
dc.contributor.researchSingapore-MIT Alliance Programmeen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorC. Forbes Dewey, Jr.
dc.contributor.supervisorSourav Saha Bhowmicken_US
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US


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