| Datta S., Datta, S. (2003), Comparisons and validation of statistical clustering techniques for microarray gene expression data, Bioinformatics, 19:459-466. |
....different clustering though without a biological basis for interpreting these results, there is no way to decide which grouping is right and which is wrong. In their comparison of different clustering algorithms, Datta and Datta evaluate the algorithms based upon their internal consistency [5]. This gives some objective way of evaluating the algorithms, though the link to the real answer is indirect. Our methodology is most similar to that used in phylogenetic studies, where a phylogenetic tree is synthetically generated according to some evolutionary model, and then phylogenetic ....
S. Datta and S. Datta. Comparisons and validation of statistical clustering techniques for microarray data. Bioinformatics, 19(4):459--466, 2003.
No context found.
Datta S., Datta, S. (2003), Comparisons and validation of statistical clustering techniques for microarray gene expression data, Bioinformatics, 19:459-466.
No context found.
Datta, S. and Datta, S., Comparisons and validation of statistical clustering techniques for microarray gene expression data, Bioinformatics, 19(4):459--466, 2003.
No context found.
Datta S., Datta, S., Comparisons and validation of statistical clustering techniques for microarray gene expression data, Bioinformatics, 19:459-466, 2003.
No context found.
S. Datta and S. Datta. Comparisons and validation of statistical clustering techniques for microarray data. Bioinformatics, 19(4):459--466, 2003.
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