Sceptic

Sceptic implements a support vector machine model for supervised pseudotime analysis of time-series single-cell sequencing and imaging data.

Key Features:

• Supervised pseudotime analysis: Sceptic uses a support vector machine model to construct pseudotime embeddings and extract the temporal order of transcriptional cell states.
• Cross-data-type compatibility: Sceptic can be applied to diverse single-cell data types including scRNA-seq, scATAC-seq, and microscopy images.
• Improved predictive accuracy: Sceptic achieves significantly improved prediction power relative to state-of-the-art methods.

Scientific Applications:

• Time-series scRNA-seq analysis: Sceptic extracts the temporal order of transcriptional cell states from time-series scRNA-seq datasets.
• Single-nucleus image data analysis: Sceptic can be applied to single-nucleus image data for pseudotime inference.
• scATAC-seq pseudotime analysis: Sceptic generalizes pseudotime analysis to scATAC-seq data.

Methodology:

Sceptic employs a support vector machine model for supervised pseudotime analysis.