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.
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.
7 citations
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September 2024 in “BMC Genomics” In this study, whole-genome sequencing of Lanping black-boned sheep identified ERBB4 and ROR1 genes as potentially important in their distinctive hyperpigmentation, enhancing understanding of their genetic evolution from Lanping normal sheep.
4 citations
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May 2017 in “Data in Brief” This study identified five potential molecular targets for future androgenetic alopecia therapy using genome-wide gene-expression investigations and bioinformatics analyses.