Machine learning on alignment features for parent-of-origin classification of simulated hybrid RNA-seq

Machine learning on alignment features for parent-of-origin classification of simulated hybrid RNA-seq

Abstract Background Parent-of-origin allele-specific gene expression (ASE) can be detected in interspecies hybrids by virtue of RNA sequence variants between the parental haplotypes. ASE is detectable by differential expression analysis (DEA) applied to the counts of RNA-seq read pairs aligned to pa...

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Bibliographic Details
Main Authors: Jason R. Miller, Donald A. Adjeroh
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Bioinformatics
Subjects:
Machine learning
RNA-seq
Allele-specific expression
Sequence alignment
Online Access:https://doi.org/10.1186/s12859-024-05728-3

Internet

https://doi.org/10.1186/s12859-024-05728-3

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