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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 5 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 4 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
BMCBI
2006
111views more  BMCBI 2006»
15 years 4 months ago
Development of an unbiased statistical method for the analysis of unigenic evolution
Background: Unigenic evolution is a powerful genetic strategy involving random mutagenesis of a single gene product to delineate functionally important domains of a protein. This ...
Colleen D. Behrsin, Chris J. Brandl, David W. Litc...
BMCBI
2005
97views more  BMCBI 2005»
15 years 4 months ago
Sequence variation in ligand binding sites in proteins
Background: The recent explosion in the availability of complete genome sequences has led to the cataloging of tens of thousands of new proteins and putative proteins. Many of the...
Thomas J. Magliery, Lynne Regan
CIKM
2009
Springer
15 years 11 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan