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

Alberto Berral-GonzalezAngela L Riffo-CamposGuillermo Ayala

Published in: BMC genomics (2019)

Our study shows that OMICfpp is an accurate method for differential expression analysis in RNA-Seq data with paired design. In addition, we propose the use of randomized p-values pattern graphic as a powerful and robust method to select the target genes for experimental validation.

Keyphrases

rna seq
single cell
open label
high resolution
genome wide
electronic health record
big data
placebo controlled
phase iii
clinical trial
gene expression
machine learning
dna methylation
mass spectrometry
bioinformatics analysis
deep learning
data analysis