160 search results - page 22 / 32 » Inferring Gene Regulatory Networks by Machine Learning Metho... |
125
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FLAIRS
2004
15 years 1 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
132
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BMCBI
2007
14 years 12 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
122
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ESANN
2007
15 years 1 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
ICML
2006
IEEE
16 years 17 days ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
115
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BMCBI
2010
14 years 12 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...