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- MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
- Application of multi-omics techniques to androgenetic alopecia: Current status and perspectives
- Human Hair as a Testing Substrate in the Era of Precision Medicine: Potential Role of ‘Omics-Based Approaches
- PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
- Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
- Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism
- The multifaceted role of hair as a biospecimen: recent advances in precision medicine and forensic science
- Identifying molecular targets for reverse aging using integrated network analysis of transcriptomic and epigenomic changes during aging
- Plasma proteome–driven identification of druggable immune regulators of alopecia areata, validated by transcriptome and single-cell mapping
- Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
- Multi-omics analysis of functional substances and expression verification in cashmere fineness
- Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
- Immunohistochemical, pharmacovigilance, and omics analyses reveal the involvement of ATP-sensitive K+ channel subunits in cancers: role in drug–disease interactions
- Research Progress on Construction Technology of 3D Human Skin Models and Its Application Prospects in Dermatology
- Multi-omics analyses, cell experiments, and network pharmacology tools identified key proteins and candidate drugs for alopecia areata treatment
- Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
- Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Uncovering novel biomarkers and drug targets for androgenetic alopecia via metabolite regulation and multi-tissue validation
- Drug repositioning: current approaches and their implications in the precision medicine era
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
- The Genetic Landscape of Androgenetic Alopecia: Current Knowledge and Future Perspectives
- THE PATHOGENESIS OF ALOPECIA AREATA
- A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
- Decoding precision medicine in prediabetes: a citespace-based bibliometric analysis of current trends and future directions
- Supplementary Material for: Plasma proteome–driven identification of druggable immune regulators of alopecia areata, validated by transcriptome and single-cell mapping
- Profiling Chromatin Accessibility at Single-Cell Resolution
- A human prenatal skin cell atlas reveals immune cell regulation of skin morphogenesis
- Mendelian Randomization Identifies CD25+ CD4+ Tregs and Plasma Proteins in Androgenetic Alopecia Pathogenesis
- Redefining Drug Discovery: A Review of Drug Repurposing –Approaches, Benefits and Breakthroughs