Results 71 to 80 of about 1,011,259 (278)
Advanced Science, EarlyView.SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source
Electronic Notes in Discrete Mathematics, 1999 Two graphs \(G\) and \(H\) on the vertex set \(V\) are \(P_4\)-isomorphic if there is a permutation \(\pi\) on \(V\) such that, for all subsets \(S\) of \(V\), \(S\) induces a chordless \(P_4\) in \(G\) if and only if \(\pi (S)\) induces a \(P_4\) in \(H\). The author characterizes all graphs \(P_4\)-isomorphic to a bipartite graph. For example, we can
openaire +1 more source
Annals of Neurology, EarlyView.Objective Mutations in TARDBP (encoding TDP‐43) are associated with the neurodegenerative disease amyotrophic lateral sclerosis (ALS) and include familial missense mutations where there are a lack of models and mechanisms examining how they are pathogenic.
Ziyaan A. Harji +10 more
wiley +1 more source
Ore Image Segmentation by Bipartite Graph Based on Collaborative Representation [PDF]
Jisuanji gongcheng, 2016 Image segmentation algorithm by bipartite graph considers the spatial organization relation between superpixels as well as pixel and superpixels,which is robust for ore image segmentation.This paper proposes a bipartite graph algorithm based on ...
ZHOU Jing,YANG Fan,SHI Lingyi,ZHENG Zhonglong
doaj +1 more source
Bipartite Flat-Graph Network for Nested Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner ...
Ying Luo, Hai Zhao
semanticscholar +1 more source
Bipartite Kneser Graphs are Hamiltonian [PDF]
Combinatorica, 2015 ISSN:1439 ...
Mütze Torsten, Su Pascal
openaire +4 more sources
A typology of schools across the four nations of the United Kingdom: Class, race and geography
British Educational Research Journal, EarlyView.Abstract In this paper we analyse the hierarchical field of schools across the United Kingdom during the transition to university and suggest that there are five socially distinct clusters of schools. Our five‐cluster typology of UK schools is composed of an established group of elite private and state schools, schools for the white rural and suburban ...
Sol Gamsu, Håkan Forsberg
wiley +1 more source
A polynomial-time approximation algorithm for the number of k-matchings in bipartite graphs [PDF]
, 2006 We show that the number of $k$-matching in a given undirected graph $G$ is equal to the number of perfect matching of the corresponding graph $G_k$ on an even number of vertices divided by a suitable factor.
Friedland, Shmuel, Levy, Daniel
core +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
The scaling of seed‐dispersal specialization in interaction networks across levels of organization
Ecography, EarlyView.Natural ecosystems are characterized by a specialization pattern where few species are common while many others are rare. In ecological networks involving biotic interactions, specialization operates as a continuum at individual, species, and community levels. Theory predicts that ecological and evolutionary factors can primarily explain specialization.
Gabriel M. Moulatlet +3 more
wiley +1 more source