ScLinear predicts protein abundance at single-cell resolution

Abstract 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-...

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Bibliographic Details
Main Authors: Daniel Hanhart, Federico Gossi, Maria Anna Rapsomaniki, Marianna Kruithof-de Julio, Panagiotis Chouvardas
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-024-05958-4