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tnasas.iib.uam.es

Tnasas

Tnasas: a class prediction and gene selection tool. Tnasas is a web tool for building class prediction models (but, as the name says, this is not a substitute for a statistician). We include five class prediction models/algorithms and three gene selection methods/algorithms. We pay particular attention to obtaining honest estimates of the prediction error rate and assessing instability of solutions. For further details see the help. Class prediction algorithm and gene selection method. At IIB and UAM.

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Tnasas: a class prediction and gene selection tool. Tnasas is a web tool for building class prediction models (but, as the name says, this is not a substitute for a statistician). We include five class prediction models/algorithms and three gene selection methods/algorithms. We pay particular attention to obtaining honest estimates of the prediction error rate and assessing instability of solutions. For further details see the help. Class prediction algorithm and gene selection method. At IIB and UAM.
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1 tnasas
2 input files
3 expression data file
4 class file
5 classification algorithm
6 gene selection method
7 dlda
8 f ratio
9 wilcoxon statistic
10 random forest
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tnasas,input files,expression data file,class file,classification algorithm,gene selection method,dlda,f ratio,wilcoxon statistic,random forest,asterias
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Tnasas | tnasas.iib.uam.es Reviews

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Tnasas: a class prediction and gene selection tool. Tnasas is a web tool for building class prediction models (but, as the name says, this is not a substitute for a statistician). We include five class prediction models/algorithms and three gene selection methods/algorithms. We pay particular attention to obtaining honest estimates of the prediction error rate and assessing instability of solutions. For further details see the help. Class prediction algorithm and gene selection method. At IIB and UAM.

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Tnasas

Tnasas: a class prediction and gene selection tool. Tnasas is a web tool for building class prediction models (but, as the name says, this is not a substitute for a statistician). We include five class prediction models/algorithms and three gene selection methods/algorithms. We pay particular attention to obtaining honest estimates of the prediction error rate and assessing instability of solutions. For further details see the help. Class prediction algorithm and gene selection method. At IIB and UAM.

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