Entropic Ranks: A Methodology for Enhanced, Threshold-Free, Information-Rich Data Partition and Interpretation

Entropic Ranks: A Methodology for Enhanced, Threshold-Free, Information-Rich Data Partition and Interpretation

Background: Here, we propose a threshold-free selection method for the identification of differentially expressed features based on robust, non-parametric statistics, ensuring independence from the statistical distribution properties and broad applicability. Such methods could adapt to different ini...

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Bibliographic Details
Main Authors: Hector-Xavier de Lastic, Irene Liampa, Alexandros G. Georgakilas, Michalis Zervakis, Aristotelis Chatziioannou
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
data analysis
threshold-free
differential analysis
Online Access:https://www.mdpi.com/2076-3417/10/20/7077

Internet

https://www.mdpi.com/2076-3417/10/20/7077

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