Author

Tyler J. Burns

Stanford Medicine

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Systems Biology· 1

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Garry P. NolaniD· 1 shared Nikolay SamusikiD· 1 shared

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2018-2018 · peak 1/yr

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Garry P. NolanORCID

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1 paper

Recent·Most cited

Systems BiologybioRxivPreprintJun 2, 2018

Continuous visualization of differences between biological conditions in single-cell data

Tyler J. Burns, Garry P. Nolan, Nikolay Samusik

The paper introduces a tool for visualizing differences between biological conditions in single-cell data using overlapping KNN groupings, improving upon traditional partition-based methods.

3 citations

scRNA-seqstatistical model

𝕏 PostBluesky