Author

Stefan Pietrzak

University of Wisconsin–Madison

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Alireza Fotuhi SiahpiraniiD· 2 shared Rupa SridharaniD· 2 shared Sunnie Grace McCallaiD· 2 shared Sushmita RoyiD· 2 shared Amber S. ZhouiD· 1 shared Gopal IyeriD· 1 shared Khoa A. TraniD· 1 shared Nur Zafirah Zaidan· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Alireza Fotuhi SiahpiraniORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 25, 2022

Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets

Shilu Zhang, Saptarshi Pyne, Stefan Pietrzak…·Sushmita Roy

This paper introduces scMTNI, a framework to infer cell type-specific gene regulatory networks on cell lineages using scRNA-seq and scATAC-seq data, showing its effectiveness on simulated and real datasets.

7 citations

scRNA-seqscATAC-seq

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Developmental BiologyCell ReportsPeer-reviewedMay 1, 2019

Defining reprogramming checkpoints from single-cell analysis of induced pluripotency

Khoa A. Tran, Stefan Pietrzak, Nur Zafirah Zaidan…·Rupa Sridharan

This study identifies reprogramming checkpoints in iPSC generation by analyzing single-cell transcriptomes and reveals key gene interactions and regulatory mechanisms.

55 citations

mousescRNA-seq

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