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SUMMARY:mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data analysis
DESCRIPTION:Statistical Bioinformatics SeminarSpeaker: Dr Pan Liu\, Fred Hutchinson Cancer Center \n\n\n\nThis is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 \n\n\n\n\n\n\n\n\n\nIn single-cell data analysis\, addressing sparsity often involves aggregating the profiles of homogeneous single cells into metacells. However\, existing metacell partitioning methods lack checks on the homogeneity assumption and may aggregate heterogeneous single cells\, potentially biasing downstream analysis and leading to spurious discoveries. To fill this gap\, we introduce mcRigor\, a statistical method to detect dubious metacells\, which are composed of heterogeneous single cells\, and optimize the hyperparameter of a metacell partitioning method. The core of mcRigor is a feature-correlation-based statistic that measures the heterogeneity of a metacell\, with its null distribution derived from a double permutation scheme. As an optimizer for existing metacell partitioning methods\, mcRigor has been shown to improve the reliability of discoveries in single-cell RNA-seq and multiome (RNA+ATAC) data analyses\, such as uncovering differential gene co-expression modules\, enhancer-gene associations\, and gene temporal expression. Moreover\, mcRigor enables benchmarking and selection of the most suitable metacell partitioning method with optimized hyperparameters tailored to specific datasets\, ensuring reliable downstream analysis.  \n\n\n\n\n\n\nSubscribe to our seminar mailing list\n\n\n\n\n→\n\n\n\n\n\n\n\nFind out more about the Statistical Bioinformatics seminar series\n\n\n\n\n\n→\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr Pan Liu\n\n\n\nDr Pan Liu is a postdoctoral researcher in the Department of Biostatistics at the Fred Hutchinson Cancer Center\, working with Professor Jingyi Jessica Li. The study she will present today was primarily conducted during her postdoctoral training in the Department of Statistics and Data Science at UCLA\, after which she moved to Fred Hutch with Professor Li. Pan earned her Ph.D. in Statistics from the National University of Singapore under the supervision of Professor Jialiang Li. Before that\, she received her B.S. degree in Mathematics from the Chu Kochen Honors College of Zhejiang University. Her research focuses on developing rigorous and reliable statistical methods for single-cell and spatial transcriptomic data analysis\, as well as tools for subgroup identification in biomedical research.Find out more on LinkedInlinkedin.com/in/pan-liu-bb17b3265
URL:https://spds.sydney.edu.au/event/mcrigor-a-statistical-method-to-enhance-the-rigor-of-metacell-partitioning-in-single-cell-data-analysis/
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