Results 91 to 100 of about 649,217 (300)
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Restage: Relation Structure-Aware Hierarchical Heterogeneous Graph Embedding
Tsinghua Science and TechnologyHeterogeneous graphs contain multiple types of entities and relations, which are capable of modeling complex interactions. Embedding on heterogeneous graphs has become an essential tool for analyzing and understanding such graphs.
Huanjing Zhao +4 more
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Parameterized streaming : maximal matching and vertex cover [PDF]
, 2014 As graphs continue to grow in size, we seek ways to effectively process such data at scale. The model of streaming graph processing, in which a compact summary is maintained as each edge insertion/deletion is observed, is an attractive one.
Chitnis, Rajesh; id_orcid +11 more
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CEACAM1 participation in breast cancer progression
Molecular Oncology, EarlyView.In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source
Graph-based Syntactic Word Embeddings
, 2020 We propose a simple and efficient framework to learn syntactic embeddings based on information derived from constituency parse trees. Using biased random walk methods, our embeddings not only encode syntactic information about words, but they also ...
Al-Ghezi, Ragheb, Kurimo, Mikko
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Patient Similarity via Joint Embeddings of Medical Knowledge Graph and Medical Entity Descriptions
IEEE Access, 2020 With the prevalence and growing volume of Electronic Health Records (EHRs), there has been increasing interest in mining EHRs for improving clinical decision support.
Zhihuang Lin, Dan Yang, Xiaochun Yin
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Journal of Combinatorial Theory, Series B, 1992 Let G be a graph embedded in a surface S. The face-width of the embedding is the minimum size \(| C\cap G|\) over all noncontractible cycles C in S. The face-width measures how densely a graph is embedded in a surface; equivalently, how well an embedded graph represents a surface.
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Geometrical embeddings of graphs
Discrete Mathematics, 1989 First the paper considers generalized threshold graphs and gives a characterization of such graphs by a list of 11 forbidden induced subgraphs \((G_ 8\) being superfluous since it contains \(G_ 2\) as an induced subgraph). Then the scalar product dimension d(G) of a graph \(G=(V,E)\) is defined to be the minimum number d such that there exists a ...
Jan Reiterman +2 more
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, 2020 Representation learning has recently been successfully used to create vector representations of entities in language learning, recommender systems and in similarity learning.
Shalin Shah
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Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source