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CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
13 years 10 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
CORR
2007
Springer
151views Education» more  CORR 2007»
13 years 4 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
BMCBI
2010
155views more  BMCBI 2010»
13 years 5 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
ICLP
1997
Springer
13 years 9 months ago
Automatic Termination Analysis of Logic Programs
Abstract This paper describes a general framework for automatic termination analysis of logic programs, where we understand by termination" the niteness of the LD-tree constru...
Naomi Lindenstrauss, Yehoshua Sagiv
BMCBI
2010
171views more  BMCBI 2010»
13 years 5 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...