Extracting Global Structure from Gene Expression Profiles
We have developed a program, GENECUT, for analysing datasets from gene
expression profiling. GENECUT is based on a pairwise clustering method
known as Normalized Cut [Shi and Malik, 1997]. GENECUT extracts global
structures by progressively partitioning datasets into well-balanced groups,
performing an intuitive k-way partitioning at each stage in contrast to
commonly used 2-way partitioning schemes. By making use of the Nyström
approximation, it is possible to perform clustering on very large genomic
datasets.
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Text Reference
Charless Fowlkes, Qun Shan, Serge Belongie, and Jitendra Malik. Extracting global structure from gene expression profiles. In Methods of Microarray Data Analysis II. Kluwer Academic Publishers, 2002.BibTeX Reference
@inproceedings{FowlkesSBM_CAMDA_2001,author = "Fowlkes, Charless and Shan, Qun and Belongie, Serge and Malik, Jitendra",
title = "Extracting Global Structure from Gene Expression Profiles",
booktitle = "Methods of Microarray Data Analysis II",
editors = "S. M. Lin and K. F. Johnson",
publisher = "Kluwer Academic Publishers",
year = "2002",
tag = "biological_images"
}