Full metadata record
DC FieldValueLanguage
dc.contributor.authorHu, YJen_US
dc.date.accessioned2014-12-08T15:43:46Z-
dc.date.available2014-12-08T15:43:46Z-
dc.date.issued2001-06-01en_US
dc.identifier.issn0169-2607en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0169-2607(00)00126-7en_US
dc.identifier.urihttp://hdl.handle.net/11536/29583-
dc.description.abstractSince efficient and relatively cheap methods were developed for determining biosequences, a lot of biosequence data has been generated. As the main problem in molecular biology is the analysis of the data instead of the data acquisition, part of the study of computational biology is to extract all kinds of meaningful information from the sequences. Computer-assisted methods have become very important in analyzing biosequence data. However, most of the current computer-assisted methods are limited to Ending motifs. Genes can be regulated in many ways, including combinations of regulatory elements. This research is aimed at developing a new integrated system for genome-wide gene expression analysis. This research begins with a new motif-finding method, using a new objective function combining multiple well defined components and an improved stochastic iterative sampling strategy. Combinatorial motif analysis is accomplished by constructive induction that analyzes potential motif combinations. We then apply standard inductive learning algorithms to generate hypotheses for different gene behaviors. A genome-wide gene expression analysis demonstrated the value of this novel integrated system. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectmotifsen_US
dc.subjectgene regulationen_US
dc.subjectconstructive inductionen_US
dc.subjectdecision treeen_US
dc.titleAn integrated approach for genome-wide gene expression analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0169-2607(00)00126-7en_US
dc.identifier.journalCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINEen_US
dc.citation.volume65en_US
dc.citation.issue3en_US
dc.citation.spage163en_US
dc.citation.epage174en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000168736300001-
dc.citation.woscount2-
Appears in Collections:Articles


Files in This Item:

  1. 000168736300001.pdf