Title :
A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from cDNA Microarray Data
Author :
Sengupta, T. ; Bhushan, M. ; Wangikar, P.P.
Author_Institution :
Dept. of Chem. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
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.
Keywords :
DNA; biological tissues; cellular biophysics; genetics; lab-on-a-chip; liver; molecular biophysics; statistical testing; cDNA microarray data; computational approach; housekeeping genes; human lymphoblastoid cells; liver tissue; microarray gene expression data; ratio statistics; scoring scheme; statistical hypothesis testing; Bioinformatics; Computational biology; DNA; Data models; Density functional theory; Probes; Housekeeping genes; liver tissue; lymphoblastoid cells; microarrays; outliers;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2015.2407399
