Results 1 to 10 of about 14,667 (177)
Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees
Nature Communications, 2023 Cancer progression is an evolutionary process shaped by both deterministic and stochastic forces. Multi-region and single-cell sequencing of tumors enable high-resolution reconstruction of the mutational history of each tumor and highlight the extensive ...
Xiang Ge Luo +2 more
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Unsupervised relational inference using masked reconstruction
Applied Network Science, 2023 Problem setting Stochastic dynamical systems in which local interactions give rise to complex emerging phenomena are ubiquitous in nature and society. This work explores the problem of inferring the unknown interaction structure (represented as a graph ...
Gerrit Großmann +3 more
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The Relation between Granger Causality and Directed Information Theory: A Review
Entropy, 2012 This report reviews the conceptual and theoretical links between Granger causality and directed information theory. We begin with a short historical tour of Granger causality, concentrating on its closeness to information theory.
Pierre-Olivier Amblard +1 more
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Domain-Driven Identification of Football Probabilities
MathematicsObtaining accurate estimates of the true probabilities of sporting events remains a long-standing problem in sports analytics. In this paper we propose a new domain-driven approach that infers true probabilities from betting odds.
Artur Karimov +3 more
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Applied Computer ScienceStationarity is a fundamental assumption in time series modeling that underlies reliable statistical inference and forecasting. Time series data can be found in many domains, including industry, engineering, finance, economics, epidemiology, and health ...
Apollinaire BATOURE BAMANA +3 more
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Resolving the structure of interactomes with hierarchical agglomerative clustering
BMC Bioinformatics, 2011 Background Graphs provide a natural framework for visualizing and analyzing networks of many types, including biological networks. Network clustering is a valuable approach for summarizing the structure in large networks, for predicting unobserved ...
Park Yongjin, Bader Joel S
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Hybrid machine learning algorithms accurately predict marine ecological communities
Frontiers in Marine SciencePredicting ecological communities is highly challenging but necessary to establish effective conservation and monitoring programs. This study aims to predict the spatial distribution of nematode associations from 25 m to 2500 m water depth over an area ...
Luciana Erika Yaginuma +7 more
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Amortized Parameter Inference for the Arbitrary-Order Hidden Markov Model
AxiomsThe arbitrary-order hidden Markov model (α-HMM) is a nontrivial generalization of the standard HMM, designed to model stochastic processes with higher-order dependences among arbitrarily distant random events.
Sixiang Zhang, Liming Cai
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Semantic segmentation and semi-transparent visualization of neuroblastoma based on ensemble learning
工程科学学报Neuroblastoma is a cancer originating from immature nerve cells that mostly occurs in infants and young children. The morphology of neuroblastoma tumors is highly complex, exhibiting variations in location, shape, and size.
Jiao PAN +4 more
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A hybrid framework for compartmental models enabling simulation-based inference. [PDF]
J Math BiolGermano DPJ +5 more
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