<p>Histogram of text mining scores for randomly chosen gene identifier subsets compared to scores achieved by BioHEL and the ensemble feature selection (FS) approach (lymphoma cancer dataset).</p
In recent years, the development of high throughput devices for the massive parallel analyses of gen...
In recent years, the development of high throughput devices for the massive parallel analyses of gen...
Copyright © 2013 Nicoletta Dess̀ı et al.This is an open access article distributed under the Creativ...
<p>Histogram of text mining scores for randomly chosen gene identifier subsets, compared to scores a...
<p>List of genes that were chosen by at least two different selection methods among the 30 features ...
<p>(*maximum no. of genes per base classifier in ensemble learning model; **evaluation results avera...
Motivation: Pre-selection of informative features for supervised classification is a crucial, albeit...
The most important subtype of non-Hodgkin-s lymphoma is the Diffuse Large B-Cell Lymphoma. Approxima...
<p>List of genes that were chosen by at least two different selection methods among the 30 features ...
Motivation: Computational gene prioritization methods are useful to help identify susceptibility gen...
Motivation: Computational gene prioritization methods are useful to help identify susceptibility gen...
Summary: Often, the most informative genes have to be selected from different gene sets and several ...
<p>(*maximum no. of genes per base classifier in ensemble learning model; **evaluation results avera...
With the rapid development of computer and information technology, an enormous amount of data in sci...
A major area of research is biomarker discovery using gene expression data. Such data is huge and of...
In recent years, the development of high throughput devices for the massive parallel analyses of gen...
In recent years, the development of high throughput devices for the massive parallel analyses of gen...
Copyright © 2013 Nicoletta Dess̀ı et al.This is an open access article distributed under the Creativ...
<p>Histogram of text mining scores for randomly chosen gene identifier subsets, compared to scores a...
<p>List of genes that were chosen by at least two different selection methods among the 30 features ...
<p>(*maximum no. of genes per base classifier in ensemble learning model; **evaluation results avera...
Motivation: Pre-selection of informative features for supervised classification is a crucial, albeit...
The most important subtype of non-Hodgkin-s lymphoma is the Diffuse Large B-Cell Lymphoma. Approxima...
<p>List of genes that were chosen by at least two different selection methods among the 30 features ...
Motivation: Computational gene prioritization methods are useful to help identify susceptibility gen...
Motivation: Computational gene prioritization methods are useful to help identify susceptibility gen...
Summary: Often, the most informative genes have to be selected from different gene sets and several ...
<p>(*maximum no. of genes per base classifier in ensemble learning model; **evaluation results avera...
With the rapid development of computer and information technology, an enormous amount of data in sci...
A major area of research is biomarker discovery using gene expression data. Such data is huge and of...
In recent years, the development of high throughput devices for the massive parallel analyses of gen...
In recent years, the development of high throughput devices for the massive parallel analyses of gen...
Copyright © 2013 Nicoletta Dess̀ı et al.This is an open access article distributed under the Creativ...
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