Probabilistic coupling of cellular and microenvironmental heterogeneity by masked self-supervised learning
Yasuhiro Kojima, Yosuke Tanaka, Haruka Hirose, Fumiko Chiwaki, Kazuya Nishimura, Shuto Hayashi, Kota Itahashi, Masato Ishikawa, Teppei Shimamura, Hiroyuki Mano
Mievformer uses masked self-supervised learning to model microenvironmental and cellular heterogeneity in spatial transcriptomics data, outperforming existing methods in niche clustering and real dataset analysis.
bioRxiv · Apr 24, 2026 · PreprintBioinformatics