Additional file 19: of Relationships between putative G-quadruplex-forming sequences, RecQ helicases, and transcription
Year: 2015
Type: dataset
Abstract: R code for implementing epigenetic modeling of gene expression and analyzing PQS transcriptional effects. Program written in R that takes Additional files 12, 13, 14, 15, 16, 17, 18 as inputs and trains a Bayesian linear regression model upon epigenomic data to predict gene expression levels. Models are then applied to gene sets not used for training, and the subsequent sorting of modeling prediction errors by PQS position is used to calculate PQS transcriptional effects. Also conducts statistical bootstrapping simulations to estimate the FDR for this analysis. (R 44 kb)
Source: Figshare
Authors: Smestad, John, L. Maher
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4394468127