About Haoyang Li Haoyang Li Ph.D. Student, Computer Science Computational biology bioinformatics Haoyang's research focuses on developing AI-driven methods to integrate multimodal biomedical data, spanning spatial multi-omics, histopathology, and single-cell genomics, with the goal of decoding spatial heterogeneity in diseases and advancing diagnosis, prognosis, and biomarker discovery for personalized therapies. Articles Related News March 2023 Guidelines for Cellular Deconvolution in Spatial Transcriptomics 1 min read · Thu, Mar 30 2023 News A recent Nature paper titled "A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics" by Haoyang Li, Juexiao Zhou, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, and Prof. Xin Gao evaluates 18 existing cellular deconvolution methods used in spatial transcriptomics using 50 real-world and simulated datasets. To measure accuracy, robustness, and usefulness, the authors compare the approaches using various metrics, resolutions, spatial transcriptomics technologies, spot numbers, and gene numbers. The
Guidelines for Cellular Deconvolution in Spatial Transcriptomics 1 min read · Thu, Mar 30 2023 News A recent Nature paper titled "A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics" by Haoyang Li, Juexiao Zhou, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, and Prof. Xin Gao evaluates 18 existing cellular deconvolution methods used in spatial transcriptomics using 50 real-world and simulated datasets. To measure accuracy, robustness, and usefulness, the authors compare the approaches using various metrics, resolutions, spatial transcriptomics technologies, spot numbers, and gene numbers. The
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