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Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes

ABSTRACT: We developed a systematic statistical method, tTREAT, to identify differentially expressed genes with respect to a predefined FC threshold. The tTREAT approach aims to reduce false discoveries.

ORGANISM(S): Mus musculus

PROVIDER: GSE53876 | GEO | 2014/01/08

SECONDARY ACCESSION(S): PRJNA233618

REPOSITORIES: GEO

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Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes

Project description:We developed a systematic statistical method, tTREAT, to identify differentially expressed genes with respect to a predefined FC threshold. The tTREAT approach aims to reduce false discoveries. We applied statistical tests relative to a Fold Change threshold to a dataset about mouse odorant receptor gene expression generated by the NanoString technology. We used mouse strains M-bM-^HM-^FP and M-bM-^HM-^FH that lack the P element and the H element respectively. We also used a mouse strain generated by chromosome engineering (M-bM-^HM-^FOlfr7M-bM-^HM-^F) whereby a 2.4 Mb region is deleted, thus lacking 99 odorant receptor genes. We sought to understand the regulation of the expression of odorant receptor genes by comparing mutant mice to wildtype mice.

2014-01-08 | E-GEOD-53876 | biostudies-arrayexpress