Improved differential expression analysis of miRNA-seq data by modeling competition to be counted

Abstract excerpt

MicroRNAs play a central role in regulating gene expression and modulating diseases. Despite the importance of microRNAs, statistical methods for analyzing them have received far less attention compared to messenger RNAs. Commonly, messenger RNA-seq methods are applied to microRNA-seq data, which may produce erroneous results due to the highly competitive nature of microRNA sequencing. This study critically examin...

Topics

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• 3' Untranslated Regions
• Artificial Intelligence
• Gene Expression
• MicroRNAs
• Oligonucleotide Array Sequence Analysis
• Polymorphism, Single Nucleotide
• Real-Time Polymerase Chain Reaction
• Support Vector Machine

Identifiers and source

Literature Corpus work

6cfd63e7-3be6-5d76-9839-ad455fe37eb7

DOI

10.1101/2024.05.07.592964