Linear neighborhood propagation
Nettet18. des. 2013 · In this paper, we propose to learn a nonnegative low-rank graph to capture global linear neighborhoods, under the assumption that each data point can be linearly reconstructed from weighted combinations of its direct … NettetThe linear neighborhood similarity of the feature space is calculated and the results are predicted by label propagation. Meanwhile, multiple feature training is integrated to …
Linear neighborhood propagation
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NettetLinear Neighborhood Propagation Input: A set of partially labeled data X, the label yi for each labeled data object xi, the number of nearest neighbors k. Output: The labels of … Nettet30. jan. 2010 · In this article, we introduce a general framework for graphbased learning. First, we propose a method called linear neighborhood propagation, which can automatically construct the optimal graph. Then we introduce a novel multilevel scheme to make our algorithm scalable for large data sets.
Nettet17. jan. 2024 · In this paper, we propose a linear neighborhood propagation method (LPLNP), to predict lncRNA–protein interactions. LPLNP calculates the linear … Nettet20. des. 2024 · LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination The study reveals that known interactions bring the most important information for lncRNA-miRNA interaction prediction, and sequences of lncRNAs (miRNAs) also provide useful information.
Nettet1. jun. 2024 · Thus, we can obtain a weight matrix W ∈ R n × n that could be treated as the miRNA pairwise linear neighborhood similarities. 2.3.2. Label propagation. The … NettetIn this paper, we propose a fast linear neighborhood similarity-based network link inference method, named FLNSNLI, to predict miRNA-disease associations. First, known miRNA-disease associations are formulated as a bipartite network, and miRNAs (or diseases) are expressed as association profiles.
Nettet20. des. 2024 · Here, we propose a sequence-derived linear neighborhood propagation method (SLNPM) and consider two strategies: similarity-based information combination …
NettetDataset and Code for "Predicting CircRNA-disease Associations through Linear Neighborhood Label Propagation Method" Dataset Dataset1. … cpt code vasectomy done in officeNettet31. jul. 2024 · TL;DR: A multiple noisy label distribution propagation (MNLDP) method that first transforms the multiple noisylabel set of each instance into its multiple noisy labels distribution and then propagates its multiple noise label distribution to … cpt code venous blood gasNettet5. sep. 2008 · Linear Neighborhood Propagation and Its Applications Abstract: In this paper, a novel graph-based transductive classification approach, called linear neighborhood propagation, is proposed. The basic idea is to predict the label of a data … cpt code vestibular physical therapyNettet25. nov. 2024 · In this paper, we propose a label propagation method with linear neighborhood information (LPLNI) for predicting unobserved drug-target interactions. Firstly, we calculate drug-drug linear neighborhood similarity in the feature spaces, by considering how to reconstruct data points from neighbors. cpt code vats thymectomyNettet1. jul. 2015 · In this paper, we exploited the prior class information in the framework of graph-based semi-supervised learning and proposed a novel method named Class … cpt code video swallow studyNettetIn this paper, we propose a sparse feature learning ensemble method with linear neighborhood regularization, abbreviated as SFLLN, to predict drug–drug interactions. First, we integrate four drug features, chemical substructures, targets, enzymes and pathways, by mapping drugs in different feature spaces into the common interaction … cpt code vestibular therapyNettet27. nov. 2007 · Our algorithm, named linear neighborhood propagation (LNP), can propagate the labels from the labeled points to the whole data set using these … distance from pittsburgh to reading pa