822 citations
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January 2021 in “Genome biology” This study presents a new method called scMC that effectively distinguishes biological from technical variation in single-cell genomics datasets, demonstrating its ability to accurately align and detect biological signals across various experiments.
July 2026 in “Cell Communication and Signaling” This review discusses the aging process of hair follicle stem cells and their niche, focusing on degradation mechanisms and potential therapeutic strategies, but it reports no new results.
June 2024 in “Computational and Structural Biotechnology Journal” This review discusses the integration of omics analyses in androgenetic alopecia research, reporting no new clinical results but suggesting that collaborative multi-omics studies may enhance understanding of AGA's pathomechanisms.
March 2024 in “medRxiv (Cold Spring Harbor Laboratory)” This study found that faster algorithms for inferring ancestry in genomic data can better capture historical and functional insights into genome variation than traditional methods in large datasets like the UK Biobank.
37 citations
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October 2015 in “European Journal of Human Genetics” This study found that a genetic model using SNPs can predict early-onset male-pattern baldness with moderate accuracy, which may assist in decisions about interventions.