<p>The 20 cancer related genes of the 100 features selected by SVMRFE on original training group of MAQC-II breast cancer data for pCR prediction.</p
<p>X-axis shows the number of used features and Y-axis shows average values of the training accuracy...
Molecula tests predicting the outcome of breast cancer patients based on gene expression levels can ...
<p>A) Distant metastasis-free survival analysis of the DMFS gene signatures (left panels) or the met...
<p>The 40 cancer related genes of the 100 features selected by SVMRFE on original training group of ...
<p>The 25 cancer related genes of the 100 features selected by LOOCSFS on original training group of...
<p>The 34 cancer related genes of the 100 features selected by NBC-MSC on original training group of...
<p>The 34 cancer related genes of the 100 features selected by NMSC-MSC on original training group o...
<p>The 40 cancer related genes of the 100 features selected by GLGS on original training group of MA...
<p>The 44 cancer related genes of the 100 features selected by LOOCSFS on original training group of...
<p>The 34 cancer related genes of the 100 features selected by NBC-MSC on original training group of...
<p>Genes marked with * are known disease genes associated with Breast Cancer (MIM: 114480), genes ma...
Shown are 50 genes selected via stability selection. A list of 50 genes that are most frequently ran...
The identification and classification of different cancer type and feature gene subset selection are...
<p>List of genes that were chosen by at least two different selection methods among the 30 features ...
PurposeTo identify a gene signature for the prognosis of breast cancer using high-throughput analysi...
<p>X-axis shows the number of used features and Y-axis shows average values of the training accuracy...
Molecula tests predicting the outcome of breast cancer patients based on gene expression levels can ...
<p>A) Distant metastasis-free survival analysis of the DMFS gene signatures (left panels) or the met...
<p>The 40 cancer related genes of the 100 features selected by SVMRFE on original training group of ...
<p>The 25 cancer related genes of the 100 features selected by LOOCSFS on original training group of...
<p>The 34 cancer related genes of the 100 features selected by NBC-MSC on original training group of...
<p>The 34 cancer related genes of the 100 features selected by NMSC-MSC on original training group o...
<p>The 40 cancer related genes of the 100 features selected by GLGS on original training group of MA...
<p>The 44 cancer related genes of the 100 features selected by LOOCSFS on original training group of...
<p>The 34 cancer related genes of the 100 features selected by NBC-MSC on original training group of...
<p>Genes marked with * are known disease genes associated with Breast Cancer (MIM: 114480), genes ma...
Shown are 50 genes selected via stability selection. A list of 50 genes that are most frequently ran...
The identification and classification of different cancer type and feature gene subset selection are...
<p>List of genes that were chosen by at least two different selection methods among the 30 features ...
PurposeTo identify a gene signature for the prognosis of breast cancer using high-throughput analysi...
<p>X-axis shows the number of used features and Y-axis shows average values of the training accuracy...
Molecula tests predicting the outcome of breast cancer patients based on gene expression levels can ...
<p>A) Distant metastasis-free survival analysis of the DMFS gene signatures (left panels) or the met...
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