scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data

scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data

Abstract Analyzing mass spectrometry (MS)-based single-cell proteomics (SCP) data faces important challenges inherent to MS-based technologies and single-cell experiments. We present scplainer, a principled and standardized approach for extracting meaningful insights from SCP data using minimal data...

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Bibliographic Details
Main Authors: Christophe Vanderaa, Laurent Gatto
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Genome Biology
Subjects:
Single-cell
Mass spectrometry
Proteomics
Data analysis
Reproducible research
Linear modeling
Online Access:https://doi.org/10.1186/s13059-025-03713-4
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https://doi.org/10.1186/s13059-025-03713-4

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