title: A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from cDNA Microarray Data.
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.
authors.forename: T
authors.initials: T
authors.lastname: Sengupta
authors.forename: M
authors.initials: M
authors.lastname: Bhushan
authors.forename: P P
authors.initials: PP
authors.lastname: Wangikar
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D020043:Genes, Essential / Q000502:physiology*; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D020543:Proteome