Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

Abstract Background Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity. MicroRNAs are used throughout all kingdoms and have been shown to be exploited by viruses to modulate their host enviro...

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Bibliographic Details
Main Authors: Malik Yousef, Dawit Nigatu, Dalit Levy, Jens Allmer, Werner Henkel
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
MicroRNA
Sequence motifs
Pre-microRNA
Machine learning
Differentiate miRNAs among species
k-mer
Online Access:http://link.springer.com/article/10.1186/s13634-017-0506-8

Internet

http://link.springer.com/article/10.1186/s13634-017-0506-8

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