Author

Maziyar Baran Pouyan

University of PittsburghORCID 0000-0003-4946-7659Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Research Focus:dimensionality reduction· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Dennis KostkaiD· 2 shared Maria D. ChikinaiD· 1 shared Weiguang MaoiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Dennis KostkaORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedMar 18, 2022

Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq data

Weiguang Mao, Maziyar Baran Pouyan, Dennis Kostka, Maria D. Chikina

The paper introduces NIFA, a probabilistic factor analysis model for scRNA-seq data that disentangles discrete cell-type identity and continuous pathway activity, outperforming existing methods in biological interpretation.

3 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedApr 14, 2018

Random forest based similarity learning for single cell RNA sequencing data

Maziyar Baran Pouyan, Dennis Kostka

RAFSIL uses random forest to learn cell-cell similarities from scRNA-seq data, improving analysis by detecting technical variation and performing well across datasets.

48 citations

scRNA-seqmachine learning (classical)

𝕏 PostBluesky