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A clustering method for small scRNA-seq data based on subspace and weighted distance [PDF]
Background Identifying the cell types using unsupervised methods is essential for scRNA-seq research. However, conventional similarity measures introduce challenges to single-cell data clustering because of the high dimensional, high noise, and high ...
Zilan Ning +4 more
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Air transport has been identified as one of the primary means whereby COVID-19 spread throughout Europe during the early stages of the pandemic. In this paper we analyse two categories of methods – dynamic network markers (DNMs) and network analysis ...
Ángel Fragua +2 more
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ConvGraph: Community Detection of Homogeneous Relationships in Weighted Graphs
This paper proposes a new method, ConvGraph, to detect communities in highly cohesive and isolated weighted graphs, where the sum of the weights is significantly higher inside than outside the communities.
Héctor Muñoz +4 more
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A Stochastic Bilevel DEA-Based Model for Resource Allocation
The optimal allocation of limited resources along with output target setting are critical in pursuing the sustainability and competitiveness of organizations.
Eleni-Maria Vretta +4 more
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Generalized SEIR Epidemic Model for COVID-19 in a Multipatch Environment
In this paper, an n-patch SEIR epidemic model for the coronavirus disease 2019 (COVID-19) is presented. It is shown that there is unique disease-free equilibrium for this model. Then, the dynamic behavior is studied by the basic reproduction number.
Lan Meng, Wei Zhu
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More than half of the world’s population live in cities, and by 2050, it is expected that this proportion will reach almost 68%. These densely populated cities consume more than 75% of the world’s primary energy and are responsible for the emission of ...
Sajad Aliakbari Sani +7 more
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Designing appropriate similarity metrics (distance) and estimating the optimal number of clusters have been two important issues in cluster analysis. This study proposed an improved k-means clustering algorithm involving a Weighted Distance and a novel ...
Zilan Ning +5 more
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Differences in the dynamics of community disaster resilience across the globe
The consideration of disaster resilience as a multidimensional concept provides a viable and promising way forward for reducing risk and minimizing impacts today and in the future. What is missing is the understanding of the actual dynamics of resilience
Stefan Hochrainer-Stigler +6 more
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Post-decision consolidation and distortion of facts
Participants decided whom of two patients to prioritize for surgery in three studies. The factual quantitative information about the patients (e.g., probability of surviving surgery) was given in vignette form with case descriptions on Visual Analogue ...
Ola Svenson, Ilkka Salo, Torun Lindholm
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A Chi-MIC Based Adaptive Multi-Branch Decision Tree
Since the decision trees (DTs) have an advantage over “black-box” models, such as neural nets or support vector machines, in terms of comprehensibility, such that it might merit improvement for further optimization.
Jiahao Ye +6 more
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