scAnnotatR

scAnnotatR comprises a set of pretrained machine learning models to predict basic immune cell types from single cell RNA-sequencing data, enabling rapid first-pass cell type annotation without requiring prior knowledge, and allows users to train custom models for predicting new cell types based on specific research needs.

Key Features:

• Pretrained Models: Provides pretrained machine learning models for predicting basic immune cell types from single cell RNA-sequencing data.
• Custom Model Training: Allows users to train their own models to predict new cell types based on specific research needs.

Scientific Applications:

• Immune Cell Type Annotation: Enables rapid first-pass annotation of immune cell types present in single cell RNA-sequencing datasets without requiring prior knowledge.
• Cell Type Discovery: Supports prediction of novel cell types through user-trained custom models tailored to specific research questions.

Methodology:

Machine learning-based prediction using pretrained models applied to single cell RNA-sequencing data.