Comparison of RNA-Seq Differential Expression Methods

Dean Palejev

doi:10.1515/cait-2017-0055

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Comparison of RNA-Seq Differential Expression Methods

Cybernetics and Information Technologies

Volume 17 (2017): Issue 5 (December 2017)

By: Dean Palejev

Open Access

|Jan 2018

Abstract

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.

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Articles in this issue

DOI: https://doi.org/10.1515/cait-2017-0055 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 60 - 67

Published on: Jan 16, 2018

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

partially ranked lists,

RNA-seq,

high-throughput sequencing,

NGS,

differential expression

Related subjects:

Computer sciences,

Information technology

© 2018 Dean Palejev, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 17 (2017): Issue 5 (December 2017)