À propos de cet article
Catégorie d'article: Special Issue With Selected Papers From The Workshop “Two Years Avitohol: Advanced High Performance Computing Applications 2017
Publié en ligne: 16 janv. 2018
Pages: 60 - 67
DOI: https://doi.org/10.1515/cait-2017-0055
Mots clés
© by Dean Palejev
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
There are many methods designed to find differentially expressed genes using RNA-seq data. Their outputs differ a lot, some genes are determined to be differentially expressed by most or all methods, and others - by very few or even by just one method. Here we derive a systematic approach to quantifying the proximity of such methods, allowing us also to discover patterns and to determine whether some of them are significantly different than others.