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- Single-Cell Omics Advances in Understanding Tissue Development and Complex Trait Formation in Sheep and Goats
- A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin
- MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
- Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Plasma proteome–driven identification of druggable immune regulators of alopecia areata, validated by transcriptome and single-cell mapping
- Multi-omics analysis unveils the role of cancer-associated fibroblasts in cutaneous squamous cell carcinoma
- 440 Charting the Spatially Resolved Hair Follicle Stem Cell Niche: A Multi-Omics Atlas of Healthy and Diseased Scalp
- GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
- Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
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