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Unraveling Neuronal Identities Using SIMS: A Deep Learning Label Transfer Tool for Single-Cell RNA Sequencing Analysis

2023-03-01

Abstract excerpt

Large single-cell RNA datasets have contributed to unprecedented biological insight. Often, these take the form of cell atlases and serve as a reference for automating cell labeling of newly sequenced samples. Yet, classification algorithms have lacked the capacity to accurately annotate cells, particularly in complex datasets. Here we present SIMS (Scalable, Interpretable Ma-chine Learning for Single-Cell), an en...

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Literature Corpus work
fc419cb3-0b76-5332-93a8-e5fa7f6b8644
DOI
10.1101/2023.02.28.529615
Open publication

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Unraveling Neuronal Identities Using SIMS: A Deep Learning Label Transfer Tool for Single-Cell RNA Sequencing AnalysisDOI 10.1101/2023.02.28.529615
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