Results 41 to 50 of about 18,495 (249)

GraphPPL.jl: A Probabilistic Programming Language for Graphical Models

Entropy
This paper presents GraphPPL.jl, a novel probabilistic programming language designed for graphical models. GraphPPL.jl uniquely represents probabilistic models as factor graphs.
Wouter W. L. Nuijten, Dmitry Bagaev, Bert de Vries   +2 more
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Determining species expansion and extinction possibilities using probabilistic and graphical models

Ekológia (Bratislava), 2015
Survival of plant species is governed by a number of functions. The participation of each function in species survival and the impact of the contrary behaviour of the species vary from function to function. The probability of extinction of species varies
Chaturvedi Rajesh, Prasad P. Rama Chandra   +1 more
doaj   +1 more source

Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation

JMIR Medical Informatics, 2020
BackgroundIt is important but challenging to understand the interactions of multiple chronic conditions (MCC) and how they develop over time in patients and populations.
Faruqui, Syed Hasib Akhter, Alaeddini, Adel, Chang, Mike C, Shirinkam, Sara, Jaramillo, Carlos, NajafiRad, Peyman, Wang, Jing, Pugh, Mary Jo   +7 more
doaj   +1 more source

Graphical User Interface for the Development of Probabilistic Convolutional Neural Networks

Signals, 2023
Through the development of artificial intelligence, some capabilities of human beings have been replicated in computers. Among the developed models, convolutional neural networks stand out considerably because they make it possible for systems to have ...
Aníbal Chaves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias   +3 more
doaj   +1 more source

Probabilistic graphical models in astronomy

Astronomy and Computing
The field of astronomy is experiencing a data explosion driven by significant advances in observational instrumentation, and classical methods often fall short of addressing the complexity of modern astronomical datasets. Probabilistic graphical models offer powerful tools for uncovering the dependence structures and data-generating processes ...
Abigail Sheerin, Giuseppe Vinci
openaire   +2 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields

BMC Bioinformatics, 2020
Background De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence.
Aranka Steyaert, Pieter Audenaert, Jan Fostier   +2 more
doaj   +1 more source

Intent Inference of Ship Collision Avoidance Behavior Under Maritime Traffic Rules

IEEE Access, 2021
This paper proposes an algorithm to infer the maneuver intention of an obstacle ship and to check its compliance with the maritime traffic rules to avoid ship collision and ensure maritime traffic safety. A probabilistic graphical model is constructed to
Yonghoon Cho, Jonghwi Kim, Jinwhan Kim
doaj   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source