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» Analysis of variance components in gene expression data
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ICPR
2008
IEEE
16 years 1 months ago
Gene function prediction using protein domain probability and hierarchical Gene Ontology information
The Gene Ontology (GO) is a controlled vocabulary of terms to describe protein functions. It also includes a hierarchical description of the relationships among the terms in the f...
Jaehee Jung, Michael R. Thon
DILS
2005
Springer
16 years 10 days ago
Hybrid Integration of Molecular-Biological Annotation Data
: We present a new approach to integrate annotation data from public sources for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse ...
Toralf Kirsten, Hong Hai Do, Christine Körner...
BMCBI
2011
14 years 10 months ago
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
Xutao Deng
CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 6 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
ICML
2007
IEEE
16 years 7 months ago
Full regularization path for sparse principal component analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...