MDEHT

MDEHT applies Hotelling’s T2 test to detect differential expression of microRNA isoforms (isomiRs) from RNA-sequencing data by jointly analyzing multivariate isoform expression patterns to improve sensitivity and specificity.

Key Features:

• Multivariate Hotelling’s T2 test: Applies Hotelling’s T2 multivariate statistical test to assess differential expression across multiple isomiRs simultaneously.
• Joint isomiR integration: Integrates expression information across multiple isomiRs of the same miRNA rather than testing isoforms independently.
• IsomiR identification and quantification: Performs identification and quantification of isomiRs from RNA-sequencing data.
• Improved detection performance: Demonstrates increased sensitivity and specificity in detecting differentially expressed miRNAs compared with univariate approaches.
• Benchmarking and reproducibility: Evaluated across datasets including The Cancer Genome Atlas (TCGA), showing lower Type I error rates, higher true positive rates, and greater reproducibility versus seven commonly used tools.
• Applicability to RNA-sequencing studies: Designed for analysis of microRNA isoforms in RNA-sequencing experiments.

Scientific Applications:

• miRNA functional studies: Resolves isomiR-level expression to advance understanding of miRNA functional diversity and cellular roles.
• Biomarker discovery: Supports miRNA-based diagnostic and prognostic biomarker identification by improving differential expression detection.
• Cancer research: Enables analysis of miRNA differential expression in cancer cohorts such as TCGA.

Methodology:

Identification and quantification of isomiRs from RNA-sequencing data followed by multivariate analysis using Hotelling’s T2 to jointly test isoform expression vectors per miRNA; performance benchmarking across datasets including TCGA using Type I error, true positive rate, and reproducibility metrics.