We develop a novel graph kernel that evaluates patient similarities based on a single molecular alteration type in the context of a pathway.

Introduction · Results and discussion · Conclusion

Jul 30, 2020 · Results: We develop Pathway-based MultiOmic Graph Kernel clustering (PAMOGK) that integrates multiomics pa- tient data with existing biological ...

Jun 17, 2020 · In this work, we present PAMOGK, a multi-view kernel clustering approach, which integrates multi-omics patient data with pathways using graphs.

We develop PAMOGK (Pathway based Multi Omic Graph Kernel clustering frame- work) that integrates multi-omics patient data with existing biological knowledge on ...

Jun 17, 2020 · Abstract. Accurate classification of patients into molecular subgroups is critical for the development of effective therapeutics and for ...

Oct 22, 2024 · We develop a novel graph kernel that evaluates patient similarities based on a single molecular alteration type in the context of a pathway. To ...

Additionally, Tepeli et al (2021) [118] developed PAMOGK which introduced a graph kernel to determine sample similarity from graph data and predict subgroups of ...

Nov 18, 2019 · PAMOGK: A Pathway Graph Kernel based Multi-Omics Clustering Approach for Discovering Cancer Patient Subgroups. November 2019. DOI:10.1101/834168.

PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering. YI Tepeli, AB Ünal, FM Akdemir, O Tastan. Bioinformatics 36 (21), 5237-5246 ...