113 search results - page 14 / 23 » Learning Microarray Gene Expression Data by Hybrid Discrimin... |
BMCBI
2006
14 years 9 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
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BMCBI
2011
14 years 4 months ago
2011
Background: Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene ex...
ACMSE
2006
ACM
15 years 3 months ago
2006
ACM
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
WILF
2005
Springer
15 years 3 months ago
2005
Springer
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
RECOMB
2007
Springer
15 years 9 months ago
2007
Springer
Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding ...