Gene profiling for determining pluripotent genes in a time course microarray experiment.
In microarray experiments, it is often of interest to identify genes which have a prespecified gene expression profile with respect to time. Methods available in the literature are, however, typically not stringent enough in identifying such genes, particularly when the profile requires equivalence of gene expression levels at certain time points. In this paper, the authors introduce a new methodology, called gene profiling, that uses simultaneous differential and equivalent gene expression level testing to rank genes according to a prespecified gene expression profile. Gene profiling treats the vector of true gene expression levels as a linear combination of appropriate vectors, for example, vectors that give the required criteria for the profile. This gene profile model is fitted to the data, and the resulting parameter estimates are summarized in a single test statistic that is then used to rank the genes. The theoretical underpinnings of gene profiling (equivalence testing, intersection-union tests) are discussed in this paper, and the gene profiling methodology is applied to our motivating stem-cell experiment.
School of Mathematical Sciences, The University of Adelaide, Adelaide SA 5005, Australia. simon.tuke@adelaide.edu.au
J
J
Tuke
G F V
GF
Glonek
P J
PJ
Solomon
D000818:Animals; D003627:Data Interpretation, Statistical; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods*; D016014:Linear Models; D051379:Mice; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated; D039904:Pluripotent Stem Cells / Q000502:physiology*; D012107:Research Design; D013997:Time Factors