Results 1 to 10 of about 14,691 (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, Jack Kuipers, Niko Beerenwinkel   +2 more
doaj   +1 more source

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, Julian Zimmerlin, Michael Backenköhler, Verena Wolf   +3 more
doaj   +1 more source

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, Olivier J. J. Michel   +1 more
doaj   +1 more source

Domain-Driven Identification of Football Probabilities

Mathematics
Obtaining 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, Aleksandr Koshkin, Dmitrii Kaplun, Denis Butusov   +3 more
doaj   +1 more source

Addressing non-stationarity with stochastic trend in the context of limited time series data: An experimental survey in healthcare analytics

Applied Computer Science
Stationarity 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, Yannick SOKDOU BILA LAMOU, David Jaures FOTSA-MBOGNE, Mahdi SHAFIEE KAMALABAD   +3 more
doaj   +1 more source

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
doaj   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Hybrid machine learning algorithms accurately predict marine ecological communities

Frontiers in Marine Science
Predicting 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, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca   +7 more
doaj   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

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

Amortized Parameter Inference for the Arbitrary-Order Hidden Markov Model

Axioms
The 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
doaj   +1 more source