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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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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. 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.

ORGANISM(S): Mus musculus

SUBMITTER: Peter Mombaerts

PROVIDER: E-GEOD-53876 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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