782 search results - page 147 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
111
Voted
CSDA
2008
14 years 11 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
136
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JCB
2008
14 years 11 months ago
2008
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
BMCBI
2008
14 years 11 months ago
2008
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
111
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GECCO
2010
Springer
15 years 4 months ago
2010
Springer
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
BMCBI
2004
14 years 11 months ago
2004
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...