Feature selection for gene prediction in metagenomic fragments

Feature selection for gene prediction in metagenomic fragments

Abstract Background Computational approaches, specifically machine-learning techniques, play an important role in many metagenomic analysis algorithms, such as gene prediction. Due to the large feature space, current de novo gene prediction algorithms use different combinations of classification alg...

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Bibliographic Details
Main Authors: Amani Al-Ajlan, Achraf El Allali
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BioData Mining
Subjects:
Feature selection
mRMR
Gene prediction
Metagenomics
ORF
Prokaryotes
Online Access:http://link.springer.com/article/10.1186/s13040-018-0170-z

Internet

http://link.springer.com/article/10.1186/s13040-018-0170-z

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