Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington’s disease mice

Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington’s disease mice

Abstract Background MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenerative diseases. Several approaches can be used for modeling miRNA regulation. However, their precision may be limited for analyzing multidimensional data. Here, we addressed this question by in...

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Bibliographic Details
Main Authors: Lucile Mégret, Satish Sasidharan Nair, Julia Dancourt, Jeff Aaronson, Jim Rosinski, Christian Neri
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Multidimensional data
miRNA regulation
Shape analysis
Predictive accuracy
Biological precision
Online Access:http://link.springer.com/article/10.1186/s12859-020-3418-9

Internet

http://link.springer.com/article/10.1186/s12859-020-3418-9

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