MultiRNAflow

MultiRNAflow enables integrated unsupervised and supervised differential expression analysis of temporal RNA-seq data across multiple biological conditions and time points.

Key Features:

• Unsupervised Analysis: Performs unsupervised analysis for datasets with an arbitrary number of biological conditions and time points.
• Supervised Differential Expression Analysis: Performs supervised differential expression analysis for datasets with an arbitrary number of biological conditions and time points.
• Temporal Pattern Identification: Identifies temporal patterns across biological conditions from differential expression information.
• Condition-Specific DE Gene Detection: Identifies differential expression genes that are specific to a biological condition for each time point.
• Deep Downstream Analysis: Conducts deep downstream analysis of differential expression information.

Scientific Applications:

• Temporal RNA-seq Data Analysis: Analyzes temporal RNA-seq datasets with multiple biological conditions and time points.
• Multi-Condition Differential Expression Studies: Supports differential expression analysis across arbitrary numbers of biological conditions and time points.

Methodology:

MultiRNAflow is implemented as an R package providing a unified framework for automated analysis.