OMICfpp: a fuzzy approach for paired RNA-Seq counts.

ABSTRACT:

Background

RNA sequencing is a widely used technology for differential expression analysis. However, the RNA-Seq do not provide accurate absolute measurements and the results can be different for each pipeline used. The major problem in statistical analysis of RNA-Seq and in the omics data in general, is the small sample size with respect to the large number of variables. In addition, experimental design must be taken into account and few tools consider it.

Results

We propose OMICfpp, a method for the statistical analysis of RNA-Seq paired design data. First, we obtain a p-value for each case-control pair using a binomial test. These p-values are aggregated using an ordered weighted average (OWA) with a given orness previously chosen. The aggregated p-value from the original

SUBMITTER: Berral-Gonzalez A 

PROVIDER: S-EPMC6444640 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature