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Article

Systematic, Protein Activity-based Characterization of Single Cell State

2021-05-22

Abstract excerpt

While single-cell RNA sequencing provides a remarkable window on pathophysiologic tissue biology and heterogeneity, its high gene-dropout rate and low signal-to-noise ratio challenge quantitative analyses and mechanistic understanding. To address this issue, we developed PISCES, a platform for the network-based, single-cell analysis of mammalian tissue. PISCES accurately estimates the mechanistic contribution of r...

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Identifiers and source

Literature Corpus work
a5de3a2b-92ef-55fd-9440-35a7473dbed0
DOI
10.1101/2021.05.20.445002
Open publication

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Systematic, Protein Activity-based Characterization of Single Cell StateDOI 10.1101/2021.05.20.445002
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