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» Combined Gene Selection Methods for Microarray Data Analysis
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110
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ICML
2008
IEEE
16 years 3 months 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 6 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 8 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...
124
Voted
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
15 years 2 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»
15 years 2 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