Protocol for deep-learning-driven cell type label transfer in single-cell RNA sequencing data

Protocol for deep-learning-driven cell type label transfer in single-cell RNA sequencing data

Summary: Here, we present a protocol for using SIMS (scalable, interpretable machine learning for single cell) to transfer cell type labels in single-cell RNA sequencing data. This protocol outlines data preparation, model training with labeled data or inference using pretrained models, and methods...

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Bibliographic Details
Main Authors: Zoe Zabetian, Jesus Gonzalez-Ferrer, Julian Lehrer, Vanessa D. Jonsson, Mircea Teodorescu, David Haussler, Mohammed A. Mostajo-Radji
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:STAR Protocols
Subjects:
Developmental biology
Sequencing
RNA-seq
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166725001741
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http://www.sciencedirect.com/science/article/pii/S2666166725001741

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