Dec 27, 2021 · We compare the IR detection performance on simulation datasets. Then, we compare the IR detection results with real RNA-Seq data.
A Comparison of Computational Approaches for Intron Retention ...
www.sciopen.com › BDMA.2021.9020014
These methods differ in their metrics to quantify retention propensity, performance to detect IR events, functional enrichment of detected IRs, and ...
IRFinder and iREAD are the two state-of-the-art methods dedicated to IR detection, whereas rMATS,. DEXSeq, CASH, and MISO are the most widely used methods for ...
In this work, we conduct an experimental comparison of existing IR detection methods. Considering the unavailability of a gold standard dataset of intron ...
In this work, we conduct an experimental comparison of existing IR detection methods. Considering the unavailability of a gold standard dataset of intron ...
Challenges in detecting and quantifying intron retention ... - NCBI
www.ncbi.nlm.nih.gov › PMC7078297
Feb 26, 2020 · Here we give an overview of the different computational approaches for detecting IR events from sequencing data.
Nov 8, 2021 · IRFinder-S allows a better identification of true intron retention events using a convolutional neural network, allows the sharing of intron retention results ...
Jan 25, 2023 · A Comparison of Computational Approaches for Intron Retention Detection. Jiantao Zheng, Cuixiang Lin, Zhenpeng Wu, Hong-Dong Li. Published: 27 ...
Here we give an overview of the different computational approaches for detecting IR events from sequencing data. We show that these are based on different ...
Venn and UpSet diagram showing the comparison of significantly differentially expressed introns obtained by the six methods on the APP mutant mouse dataset.