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» Combined Gene Selection Methods for Microarray Data Analysis
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ICML
2008
IEEE
16 years 16 days ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
CSB
2004
IEEE
158views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Algorithms for Association Study Design Using a Generalized Model of Haplotype Conservation
There is considerable interest in computational methods to assist in the use of genetic polymorphism data for locating disease-related genes. Haplotypes, contiguous sets of correl...
Russell Schwartz
DOCENG
2006
ACM
15 years 5 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
93
Voted
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
14 years 11 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
BMCBI
2008
143views more  BMCBI 2008»
14 years 12 months ago
catmap: Case-control And TDT Meta-Analysis Package
Background: Risk for complex disease is thought to be controlled by multiple genetic risk factors, each with small individual effects. Meta-analyses of several independent studies...
Kristin K. Nicodemus