Results 41 to 50 of about 43,440 (267)

Bayesian evidence and model selection [PDF]

Digital Signal Processing, 2015
Arxiv version consists of 58 pages and 9 figures.
Kevin H. Knuth, Michael Habeck, Nabin K. Malakar, M. Asim Mubeen, Ben Placek   +4 more
openaire   +4 more sources

Pan-continental spillover risk: integrated spatiotemporal, transmissibility and surveillance analysis of avian influenza a(H5N1) in Africa

Frontiers in Epidemiology
BackgroundThe HPAI H5N1 panzootic represents a critical threat to human health in Africa, where traditional poultry systems and dense human-animal interfaces facilitate frequent zoonotic spillover.
Maladho Diaby, Maladho Diaby, Maladho Diaby, Alhassane Diallo, Castro G. Hounmenou, Salifou Talassone Bangoura, Salifou Talassone Bangoura, Salifou Talassone Bangoura, Emile Faya Bongono, Kadio Jean-Jacques Olivier Kadio, Aly Badara Touré, Aly Badara Touré, Abdourahamane Barry, Saidouba Chérif Camara, Haby Diallo, Thibaut Armel Chérif Gnimadi, Sidikiba Sidibé, Alexendre Delamou, Alexendre Delamou, Alioune Camara, Alpha-Kabinet Kéita, Alpha-Kabinet Kéita, Abdoulaye Touré, Abdoulaye Touré, Abdoulaye Touré   +24 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +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

Normativity, interpretation, and Bayesian models [PDF]

Frontiers in Psychology, 2014
It has been suggested that evaluative normativity should be expunged from the psychology of reasoning. A broadly Davidsonian response to these arguments is presented. It is suggested that two distinctions, between different types of rationality, are more permeable than this argument requires and that the fundamental objection is to selecting theories ...
openaire   +4 more sources

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus

Fishes, 2022
Growth modelling is essential to inform fisheries management but is often hampered by sampling biases and imperfect data. Additional methods such as interpolating data through back-calculation may be used to account for sampling bias but are often ...
Ana Neves, Ana Rita Vieira, Vera Sequeira, Elisabete Silva, Frederica Silva, Ana Marta Duarte, Susana Mendes, Rui Ganhão, Carlos Assis, Rui Rebelo, Maria Filomena Magalhães, Maria Manuel Gil, Leonel Serrano Gordo   +12 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Bayesian Spatial Modelling with R-INLA

Journal of Statistical Software, 2015
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
doaj   +1 more source

Development of a New Modelling Approach and Performance Evaluation of Meta-heuristic Optimization Algorithms for the Prediction of Kinetic Growth Parameters for Pseudomonas spp. in Fish

Journal of Pure and Applied Microbiology, 2022
The main aim of the current work was to build up a new mathematical modelling approach in predictive food microbiology field for the prediction of growth kinetics of microorganisms. For this purpose, the bacterial growth data of Pseudomonas spp. in whole
Fatih Tarlak, Ozgun Yucel, Kianoush Khosravi-Darani   +2 more
doaj   +1 more source