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.
Text ReferenceCharless 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.
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"