Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks

dc.contributor.author	Avcu, N.
dc.contributor.author	Pekergin, N.
dc.contributor.author	Pekergin, F.
dc.contributor.author	Guzelis, C.
dc.date.accessioned	2021-01-25T19:33:04Z
dc.date.available	2021-01-25T19:33:04Z
dc.date.issued	2018
dc.identifier	10.1109/TCBB.2017.2699177
dc.identifier.issn	1545-5963
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7547
dc.description.abstract	This paper proposes aggregation-based, three-stage algorithms to overcome the numerical problems encountered in computing stationary distributions and mean first passage times for multi-modal birth-death processes of large state space sizes. The considere
dc.description.sponsorship	Turkish Scientific and Technological Research CouncilTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); Conseil National des Recherches Scientifiques [111E082]
dc.language.iso	English
dc.publisher	IEEE COMPUTER SOC
dc.title	Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks
dc.type	Article
dc.relation.firstpage	813
dc.relation.lastpage	827
dc.relation.volume	15
dc.relation.issue	3
dc.description.woscategory	Biochemical Research Methods; Computer Science, Interdisciplinary Applications; Mathematics, Interdisciplinary Applications; Statistics & Probability
dc.description.wosresearcharea	Biochemistry & Molecular Biology; Computer Science; Mathematics
dc.identifier.wosid	WOS:000434295100012

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