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stat.ME2024
Joint identification of spatially variable genes via a network-assisted Bayesian regularization approach
Mingcong Wu, Yang Li, Shuangge Ma +1
Identifying genes that display spatial patterns is critical to investigating expression interactions within a spatial context and further dissecting biological understanding of com…
stat.ME2024
Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
Xing Qin, Xu Liu, Shuangge Ma +1
Heterogeneity is a fundamental characteristic of cancer. To accommodate heterogeneity, subgroup identification has been extensively studied and broadly categorized into unsupervise…