Author

Azadeh Seidi

AGRF LtdORCID 0000-0002-8024-8633Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Daniela Amann‐ZalcensteiniD· 2 shared Luyi TianiD· 2 shared Matthew E. RitchieiD· 2 shared Shalin H. NaikiD· 2 shared Shian SuiD· 2 shared Xueyi DongiD· 2 shared Abolfazl JalalAbadi· 1 shared Christine BibeniD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Daniela Amann‐ZalcensteinORCID

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2 papers

Recent·Most cited

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 S. Weber, Azadeh Seidi, Jafar S. Jabbari, Shalin H. Naik, Matthew E. Ritchie

The paper benchmarks scRNA-seq analysis methods using synthetic datasets generated from mixed cancer cell lines, identifying methods that perform well across tasks like normalization, clustering, and integration.

Nature Methods · May 27, 2019Peer-reviewedBioinformatics

scPipe: a flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data

Luyi Tian, Shian Su, Xueyi Dong, Daniela Amann‐Zalcenstein, Christine Biben, Azadeh Seidi, Douglas J. Hilton, Shalin H. Naik, Matthew E. Ritchie

scPipe provides a flexible R/Bioconductor pipeline for preprocessing scRNA-seq data, handling multiple barcoding strategies and generating quality reports for downstream analysis.

PLoS Computational Biology · Aug 10, 2018Peer-reviewedBioinformatics