ScLinear predicts protein abundance at single-cell resolution.
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ABSTRACT:
SUBMITTER: Hanhart D
PROVIDER: S-EPMC10912329 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Publications
ScLinear predicts protein abundance at single-cell resolution.
Hanhart Daniel D Gossi Federico F Rapsomaniki Maria Anna MA Kruithof-de Julio Marianna M Chouvardas Panagiotis P
Communications biology 20240304 1
Single-cell multi-omics have transformed biomedical research and present exciting machine learning opportunities. We present scLinear, a linear regression-based approach that predicts single-cell protein abundance based on RNA expression. ScLinear is vastly more efficient than state-of-the-art methodologies, without compromising its accuracy. ScLinear is interpretable and accurately generalizes in unseen single-cell and spatial transcriptomics data. Importantly, we offer a critical view in using ...[more]
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