Al has an extensive background in computational/numerical research and modeling with versatile applications in Engineering, Pharmaceutics, and Computational Biology. His work focuses on novel approaches in multivariate projection-based integrative methods with applications in high-throughput single-cell sequencing technologies.
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Displaying the most recent scholarly work by Al JalalAbadi.
scRNA-seq mixology: towards better benchmarking of single cell RNA-seq analysis methods
Luyi Tian, Xueyi Dong, Saskia Freytag, Kim-Anh Lê Cao, Shian Su, Abolfazl JalalAbadi, Daniela Amann-Zalcenstein, Tom Weber, Azadeh Seidi, Jafar Jabbari, Shalin Naik, Matthew Ritchie
Report | 2018
Abstract Single cell RNA sequencing (scRNA-seq) technology has undergone rapid development in recent years, bringing with new chal..
Research Fellow In Computational Genomics
Mathematics And Statistics
Master of Science in Aerospace Engineering
Sharif University of Technology
Bachelor of Science
Amirkabir University of Technology