Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes.

Bhar, Anirban; Haubrock, Martin; Mukhopadhyay, Anirban; Wingender, Edgar

Bhar, Anirban; Haubrock, Martin; Mukhopadhyay, Anirban; Wingender, Edgar.

Affiliation

Bhar A; Institute of Bioinformatics, University Medical Center, Georg August University, Goettingen, Goldschmidtstrasse 1, Goettingen, D-37077, Germany. anirban.bhar@bioinf.med.uni-goettingen.de.
Haubrock M; Institute of Bioinformatics, University Medical Center, Georg August University, Goettingen, Goldschmidtstrasse 1, Goettingen, D-37077, Germany. martin.haubrock@bioinf.med.uni-goettingen.de.
Mukhopadhyay A; Department of Computer Science and Engineering, University of Kalyani, Kalyani, -741235, India. anirban@klyuniv.ac.in.
Wingender E; Institute of Bioinformatics, University Medical Center, Georg August University, Goettingen, Goldschmidtstrasse 1, Goettingen, D-37077, Germany. edgar.wingender@bioinf.med.uni-goettingen.de.

BMC Bioinformatics ; 16: 200, 2015 Jun 26.

Article in En | MEDLINE | ID: mdl-26108437

Subject(s)

Algorithms; Biomarkers/analysis; Cell Differentiation/genetics; Gene Expression Profiling/methods; Induced Pluripotent Stem Cells/metabolism; Myocytes, Cardiac/metabolism; Transcriptome/genetics; Biological Phenomena; Cluster Analysis; Datasets as Topic; Gene Regulatory Networks; Humans; Induced Pluripotent Stem Cells/cytology; Myocytes, Cardiac/cytology; Oligonucleotide Array Sequence Analysis/methods; Time Factors

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Biomarkers / Cell Differentiation / Gene Expression Profiling / Myocytes, Cardiac / Induced Pluripotent Stem Cells / Transcriptome Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: Germany

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