Author

Arman Rahimzamani

University of Washington

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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Genomics· 1

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Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Bingcheng Ren· 1 shared Cole TrapnelliD· 1 shared José L. McFaline‐FigueroaiD· 1 shared Lauren M. SaundersiD· 1 shared Li WangiD· 1 shared Qi MaoiD· 1 shared Sreeram KannaniD· 1 shared Timothy DurhamiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Bingcheng Ren

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1 paper

Recent·Most cited

Towards inferring causal gene regulatory networks from single cell expression measurements

Xiaojie Qiu, Arman Rahimzamani, Li Wang, Bingcheng Ren, Qi Mao, Timothy Durham, José L. McFaline‐Figueroa, Lauren M. Saunders, Cole Trapnell, Sreeram Kannan

This paper introduces Scribe, a toolkit for causal gene regulatory network inference from single-cell data, showing that pseudotime data performs worse than true time series data.

Cell Systems · Mar 1, 2020Peer-reviewedGenomics