Author

Shunfu Mao

University of WashingtonORCID 0000-0002-8203-0507Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Sreeram KannaniD· 3 shared Georg SeeligiD· 2 shared Yue ZhangiD· 2 shared Dhaivat JoshiiD· 1 shared Suhas N. DiggaviiD· 1 shared Sumit MukherjeeiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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3 shared papersBioinformatics

Sreeram KannanORCID

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3 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedDec 6, 2021

CellMeSH: Probabilistic Cell-Type Identification Using Indexed Literature

Shunfu Mao, Yue Zhang, Georg Seelig, Sreeram Kannan

CellMeSH automatically annotates cell types from scRNA-seq data using a probabilistic method and a literature-based database of gene-cell type associations.

16 citations

humanmouse

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 29, 2020

QAlign: Aligning nanopore reads accurately using current-level modeling

Dhaivat Joshi, Shunfu Mao, Sreeram Kannan, Suhas N. Diggavi

QAlign improves alignment accuracy and rates for nanopore reads by converting them into current-level representations before alignment.

9 citations

long-read sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 15, 2020

UNCURL-App: Interactive Database-Driven Analysis of Single Cell RNA Sequencing Data

Yue Zhang, Shunfu Mao, Sumit Mukherjee…·Georg Seelig

UNCURL-App provides an interactive tool for scRNA-seq analysis, integrating cell type databases and allowing user-driven re-analysis of clusters and pathways.

2 citations

scRNA-seqstatistical model

𝕏 PostBluesky