SHARP

"SHARP" is a scalable tool for processing and clustering large-scale single-cell RNA-sequencing (scRNA-seq) data. Developed to address the challenges of dimension reduction and data analysis in massive scRNA-seq datasets without compromising data integrity, SHARP employs an ensemble random projection-based algorithm capable of handling datasets with up to 10 million cells.

Key Features and Functionalities:

Scalable Clustering: SHARP is specifically tailored for clustering very large scRNA-seq datasets, demonstrating scalability of up to 10 million cells. This feature makes it a valuable tool for analyzing data from extensive single-cell studies.

- Ensemble Random Projection-Based Algorithm: The core of SHARP's efficiency lies in its use of an ensemble random projection-based algorithm, which effectively reduces data dimensionality while preserving the essential structure required for accurate clustering.