Improving support vector data description using local density degree

Component-based software architecture for biosystem reverse engineering

Improving Classification Accuracy of Decision Trees for Different Abstraction Levels of Data

Possibilistic support vector machines

A k-populations algorithm for clustering categorical data

Modularized learning of genetic interaction networks from biological annotations and mRNA expression data

Detecting clusters of different geometrical shapes in microarray gene expression data

A kernel-based subtractive clustering method

Extraction of Developmentally Important Genes from Microarray Data

Architecture of basic building blocks in protein and domain structural interaction networks