A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from cDNA Microarray Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|December 17, 2015
Abstract:
We predict housekeeping genes from replicate microarray gene expression data of human lymphoblastoid cells and liver tissue with outliers removed using a scoring scheme, by an algorithm based on statistical hypothesis testing, assuming that such genes are constitutively expressed. A few predicted genes were examined and found to be housekeeping.


