A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions

Author:

Nock Richard,Polouliakh NataliaORCID,Nielsen Frank,Oka Keigo,Connell Carlin R.,Heimhofer Cedric,Shibanai Kazuhiro,Ghosh Samik,Aisaki Ken-ichi,Kitajima Satoshi,Kanno Jun,Akama Taketo,Kitano Hiroaki

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference42 articles.

1. Data clustering: 50 years beyond K-means;AK Jain;Pattern Recognition Letters,2010

2. How does gene expression clustering work?;P. D'Haeseleer;Nature biotechnology,2005

3. Systematic determination of genetic network architecture;S Tavazoie;Nature genetics,1999

4. Cluster analysis and display of genome-wide expression patterns;MB Eisen;Proceedings of the National Academy of Sciences of the United States of America,1998

5. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation;P Tamayo;Proceedings of the National Academy of Sciences of the United States of America,1999

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