Analysis of heterogeneous genomic samples using image normalization and machine learning

Analysis of heterogeneous genomic samples using image normalization and machine learning

Abstract Background Analysis of heterogeneous populations such as viral quasispecies is one of the most challenging bioinformatics problems. Although machine learning models are becoming to be widely employed for analysis of sequence data from such populations, their straightforward application is i...

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Bibliographic Details
Main Authors: Sunitha Basodi, Pelin Icer Baykal, Alex Zelikovsky, Pavel Skums, Yi Pan
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Genomics
Subjects:
Next-generation sequencing data
Image normalization
Staging HCV infections
Outbreaks investigations
Clustering
Online Access:https://doi.org/10.1186/s12864-020-6661-6

Internet

https://doi.org/10.1186/s12864-020-6661-6

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