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» Evaluation of clustering algorithms for gene expression data
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KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 1 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
IPPS
2002
IEEE
15 years 6 months ago
Parallel EST Clustering
Expressed sequence tags, abbreviated ESTs, are DNA fragments experimentally derived from expressed portions of genes. Clustering of ESTs is essential for gene recognition and unde...
Anantharaman Kalyanaraman, Srinivas Aluru, Suresh ...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 1 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
BIRD
2008
Springer
113views Bioinformatics» more  BIRD 2008»
15 years 3 months ago
Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns
The Edinburgh Mouse Atlas aims to capture in-situ gene expression patterns in a common spatial framework. In this study, we construct a grammar to define spatial regions by combina...
Jano I. van Hemert, Richard A. Baldock