The results establish GatorPrism as an accurate and interpretable framework that reveals how shared and modality-specific molecular signals organize tissue structure.
OmicSync is presented, a reliability-aware spatial multi-omics framework that couples unsupervised domain clustering with evidence-constrained LLM reasoning using model-derived per-spot signals, including assignment confidence, epistemic routing uncertainty, and modality-routing weights, and OmicSync-R is introduced, w...
MultiSpaceNet is presented, a graph-based framework for joint representation learning from paired spatial transcriptomic and proteomic data that outperforms nine published state-of-the-art methods in spatial domain identification and preserves biological structure across replicate sections better than all compared alte...
Zheng-Qiang Zhang, Bing-Hong Chen, Jing-Yi Bai et al.· Bioinformatics· 0 citations
ABSTRACT Spatial transcriptomics (ST) analysis is often hindered by technical limitations and methodological biases that let dominant signals overshadow subtle but crucial biological patterns, such as rare cell types and fine‐grained heterogeneity. This is especially true for high‐complexity datasets from platforms lik...
Roxana Zahedi, A. Argha, Nona Farbehi et al.· Advancement of science· 0 citations
ProtoPSR is proposed, an unsupervised framework for robust spatial multi-omics domain discovery that stabilizes both local clustering structure and global pairwise relations and demonstrates strong robustness under modality-specific feature corruption.
Yu Zhang, Meng-Zhu Wang, Luoxi Jing et al.· Proceedings of the 32nd ACM...· 0 citations
This work introduces spaGFM, a graph foundation model that serializes cellular neighborhoods through random walks to generate transformer-compatible representations of tissue organization that transfer across tissues, disease contexts, and spatial technologies.
Yu Zhong, Fei He, Xiao-Jie Jin et al.· Research Square· 0 citations
This study takes Leiden clustering as a reproducible baseline, carries out 72 groups of parameter evaluations on MouseBrain and HumanTonsil datasets, and systematically compares the effects of PCA dimension, neighbour number k and resolution on clustering granularity, consistency with reference labels and spatial conti...
Lin-Na Fan· Applied and Computational En...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.