Research Article
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
Algorithm 2
Spearman’s rank correlation coefficient method description.
Input: | Output: Correlation coefficient | Step 1. Obtain the sequence , in sample relatively attribute , with its attribute value; | Step 2. The sequence, is sorted in descending with rank for each sample. The rank takes an average when the attributes with | the same value; | Step 3. The new rank sequence are obtained according to original sample order for , ; | Step 4. for to do; | calculate the average rank sequence for rank sequence ; | Step 5. for to do; | calculate ; | Step 6. Calculate ; | Step 7. Return correlation coefficient . |
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