A robust multi-scale clustering framework for single-cell RNA-seq data analysis

A robust multi-scale clustering framework for single-cell RNA-seq data analysis

Abstract Recent advancements in single-cell RNA sequencing (scRNA-seq) technology have unlocked novel opportunities for deep exploration of gene expression patterns. However, the inherent high dimensionality, sparsity, and noise in scRNA-seq data pose significant challenges for existing clustering m...

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Bibliographic Details
Main Authors: Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
scRNA-seq
Multi-dimensional PCA
Weighted ensemble meta-clustering
Transformer model
High-confidence cells
Online Access:https://doi.org/10.1038/s41598-025-03603-6
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