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 .