Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm-Reference-Cited by-同舟云学术

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Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm

Published:2012-04-04 Issue:1 Volume:13 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Tchagang Alain B,Phan Sieu,Famili Fazel,Shearer Heather,Fobert Pierre,Huang Yi,Zou Jitao,Huang Daiqing,Cutler Adrian,Liu Ziying,Pan Youlian

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-13-54.pdf

Reference33 articles.

1. Androulakis IP, Yang E, Almon RR: Analysis of time-series gene expression data: methods, challenges, and opportunities. Annu Rev Biomed Eng 2007, 9: 205–228. 10.1146/annurev.bioeng.9.060906.151904

2. Gardner TS, Faith JJ: Reverse-engineering transcription control networks. Phys Life Rev 2005, 2: 65–88. 10.1016/j.plrev.2005.01.001

3. Spellman PT, Sherlock G, Zhang MQ, Iyer VR, Anders K, Eisen MB, Brown PO, Botstein D, Futcher B: Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol Biol Cell 1998, 9(12):3273–3297.

4. Arbeitman MN, Furlong EE, Imam F, Johnson E, Null BH, Baker BS, Krasnow MA, Scott MP, Davis RW, White KP: Gene expression during the life cycle of Drosophila melanogaster. Science 2002, 297(5590):2270–2275. 10.1126/science.1072152

5. Tchagang AB, Bui KV, McGinnis T, Benos PV: Extracting biologically significant patterns from short time series gene expression data. BMC Bioinformatics 2009, 10: 255. 10.1186/1471-2105-10-255

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