Asif Adil

This paper develops machine learning models to predict donor success in stem cell mobilization using clinical data, enabling early intervention and personalized strategies.

scSPARKL is a parallel analytical framework for scRNA-seq data that uses Apache Spark to handle large datasets through data reshaping, preprocessing, filtering, normalization, dimensionality reduction, and clustering.