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dc.contributor.authorCheng, Xiaoqingen
dc.contributor.authorMori, Tomoyaen
dc.contributor.authorQiu, Yushanen
dc.contributor.authorChing, Wai-Kien
dc.contributor.authorAkutsu, Tatsuyaen
dc.contributor.alternative森, 智弥ja
dc.contributor.alternative阿久津, 達也ja
dc.date.accessioned2020-06-23T06:23:40Z-
dc.date.available2020-06-23T06:23:40Z-
dc.date.issued2016-11-01-
dc.identifier.issn1545-5963-
dc.identifier.issn1557-9964-
dc.identifier.urihttp://hdl.handle.net/2433/252326-
dc.description.abstractWe study the number of samples required to uniquely determine the structure of a probabilistic Boolean network (PBN), where PBNs are probabilistic extensions of Boolean networks. We show via theoretical analysis and computational analysis that the structure of a PBN can be exactly identified with high probability from a relatively small number of samples for interesting classes of PBNs of bounded indegree. On the other hand, we also show that there exist classes of PBNs for which it is impossible to uniquely determine the structure of a PBN from samples.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.rightsこの論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。ja
dc.rightsThis is not the published version. Please cite only the published version.en
dc.subjectprobabilistic Boolean networksen
dc.subjectgenetic networksen
dc.subjectnetwork inferenceen
dc.subjectsample complexityen
dc.titleExact Identification of the Structure of a Probabilistic Boolean Network from Samplesen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEEE/ACM Transactions on Computational Biology and Bioinformaticsen
dc.identifier.volume13-
dc.identifier.issue6-
dc.identifier.spage1107-
dc.identifier.epage1116-
dc.relation.doi10.1109/TCBB.2015.2505310-
dc.textversionauthor-
dc.identifier.pmid26661790-
dcterms.accessRightsopen access-
datacite.awardNumber26540125-
dc.identifier.pissn1545-5963 -
dc.identifier.eissn1557-9964-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
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