An unsupervised conditional random fields approach for clustering gene expression time series Li, Chang-Tsun, Yuan, Yinyin and Wilson, Roland 2008, An unsupervised conditional random fields approach for clustering gene expression time series, Bioinformatics, vol. 24, no. 21, pp. 2467-2473, doi: 10.1093/bioinformatics/btn375. Attached Files Name Description MIMEType Size Downloads Title An unsupervised conditional random fields approach for clustering gene expression time series Author(s) Li, Chang-Tsun orcid.org/0000-0003-4735-6138 Yuan, Yinyin Wilson, Roland Journal name Bioinformatics Volume number 24 Issue number 21 Start page 2467 End page 2473 Total pages 6 Publisher Oxford University Press Place of publication Oxford, Eng. Publication date 2008 ISSN 1367-4803 1460-2059 Keyword(s) Science & Technology Life Sciences & Biomedicine Technology Physical Sciences Biochemical Research Methods Biotechnology & Applied Microbiology Computer Science, Interdisciplinary Applications Mathematical & Computational Biology Statistics & Probability Biochemistry & Molecular Biology Computer Science Mathematics MICROARRAY DATA MIXTURE MODEL Language eng DOI 10.1093/bioinformatics/btn375 Indigenous content off Field of Research 01 Mathematical Sciences 06 Biological Sciences 08 Information and Computing Sciences HERDC Research category C1.1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30125521 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to Published Version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 11 Jul 2019, 14:20:43 EST Fri, 12 Jul 2019, 05:02:54 EST Fri, 12 Jul 2019, 06:04:37 EST Wed, 18 Dec 2019, 13:38:10 EST Wed, 18 Dec 2019, 13:51:27 EST Mon, 06 Jan 2020, 19:35:39 EST Fri, 07 Feb 2020, 11:10:23 EST Sun, 28 Feb 2021, 07:35:24 EST Thu, 18 Mar 2021, 10:35:24 EST Filtered Full Citation counts:   Cited 13 times in TR Web of Science Cited 16 times in Scopus Search Google Scholar Access Statistics: 116 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 11 Jul 2019, 14:20:43 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.