Moving towards genome-wide data integration for patient
1 天前 · Transductive integration consists of two core steps: (1) fusion of partially overlapping patient graphs; (2) extraction and alignment of patient embeddings across omics modalities …
[2409.12728] PRAGA: Prototype-aware Graph Adaptive …
2024年9月19日 · Here, we propose a novel spatial multi-modal omics resolved framework, termed PRototype-Aware Graph Adaptative Aggregation for Spatial Multi-modal Omics Analysis …
Integration of unpaired single cell omics data by deep transfer graph …
2025年1月16日 · Author summary Single-cell omics technologies have significantly advanced our ability to study biological systems at an unprecedented resolution and scale. However, …
MOHGCN: A trustworthy multi-omics data integration framework …
In this work, we propose MOHGCN, a trustworthy multi-omics data integration framework based on specificity-aware heterogeneous graph convolutional neural networks for disease …
MOGONET integrates multi-omics data using graph convolutional …
2021年6月8日 · Here, we present a novel multi-omics integrative method named Multi-Omics Graph cOnvolutional NETworks (MOGONET) for biomedical classification. MOGONET jointly …
Integration of unpaired single cell omics data by deep transfer graph …
Here, we present a robust deep transfer model based graph convolutional network, scTGCN, which achieves versatile performance in preserving biological variation, while achieving …
Integration of multi-omics data using adaptive graph learning …
2023年9月1日 · We innovatively propose omic-integrated representation learning to capture complex common and complementary information between omics. Experimental results …
MarsGT: Multi-omics analysis for rare population inference
2024年1月6日 · It identifies rare cell populations using a probability-based heterogeneous graph transformer on single-cell multi-omics data. MarsGT outperforms existing tools in identifying …
Harmonizome 3.0: integrated knowledge about genes and …
2024年11月20日 · Abstract. By processing and abstracting diverse omics datasets into associations between genes and their attributes, the Harmonizome database enables …
[2406.14442] Graph Representation Learning Strategies for Omics …
2024年6月20日 · Abstract: Omics data analysis is crucial for studying complex diseases, but its high dimensionality and heterogeneity challenge classical statistical and machine learning …