Article

A Fully Automated, Data-Driven Approach for Dimensionality Reduction and Clustering in Single-Cell RNA-seq Analysis

2025-10-06

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) provides deep insights into cellular heterogeneity but demands robust dimensionality reduction (DR) and clustering to handle high-dimensional, noisy data. Many DR and clustering approaches rely on user-defined parameters, undermining reliability. Even automated clustering methods like ChooseR and MultiK still employ fixed principal component defaults, limiting their full auto...

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Literature Corpus work: 3425e8db-c470-54f9-b3fb-ba8ab6397ea5
DOI: 10.1101/2025.10.06.680609

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