4 citations
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December 2024 in “Protein & Cell” MultiKano accurately identifies cell types in complex data better than existing methods.
This research by Yuan et al. focused on developing a comprehensive human skin cell atlas, analyzing various cell types and diseases, and introduced a deep learning method, scSEA, for unbiased reference mapping, potentially discovering new cell types.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” This study compiled and functionally annotated 489 genes associated with hair disorders, revealing their involvement in diverse biological pathways, including those linked to cancer and cellular signaling.
This review summarizes how single-cell omics technologies have advanced understanding of cellular regulatory programs in sheep and goats, but highlights limitations in genomic annotation and integration with population genetics for molecular breeding.
5 citations
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May 2024 in “Current Issues in Molecular Biology” This review highlights advancements in applying single-cell sequencing to cattle, sheep, and goats, noting its potential to elucidate cellular diversity and improve traits affecting livestock health and productivity, despite challenges in cell population annotation and spatial resolution in these species.