Global trends in machine learning applications for single-cell transcriptomics research
Abstract Background Single-cell RNA sequencing (scRNA-seq) has revolutionized cellular heterogeneity analysis by decoding gene expression profiles at individual cell level, while machine learning (ML) has emerged as core computational tool for clustering analysis, dimensionality reduction modeling a...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | Hereditas |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41065-025-00528-y |
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