regsplice

regsplice detects differential exon usage in RNA-seq and exon microarray data to identify alternative splicing events by applying L1 regularization (lasso) within statistical analyses of high-throughput genomic data.

Key Features:

• L1 Regularization (Lasso): Uses L1 regularization (lasso) for variable selection and regularization to improve detection power in high-dimensional RNA-seq and exon microarray analyses.
• Data Types Supported: Analyzes RNA-seq and exon microarray datasets for exon-level differential usage.
• Integration with Bioconductor: Implemented within the Bioconductor project in R and distributed as a Bioconductor package subject to Bioconductor's formal review and automated testing standards.

Scientific Applications:

• Alternative Splicing Analysis: Detects differential exon usage to identify alternative splicing events.
• Transcriptomics: Characterizes exon-level regulation of gene expression in transcriptomic studies.
• Cancer Genomics: Identifies splicing alterations associated with cancer.
• Developmental Biology: Profiles exon usage changes across developmental stages.
• Personalized Medicine: Supports identification of clinically relevant splicing variants in personalized medicine studies.

Methodology:

Applies L1 regularization (lasso) within statistical models for variable selection and regularization and performs rigorous statistical analysis tailored for high-throughput RNA-seq and exon microarray data.