Results 21 to 30 of about 42,084,791 (333)

DeepMTP: A Python-based deep learning framework for multi-target prediction

SoftwareX, 2023
DeepMTP is a python framework designed to be compatible with the majority of machine learning sub-areas that fall under the umbrella of multi-target prediction (MTP).
Dimitrios Iliadis, Bernard De Baets, Willem Waegeman   +2 more
doaj   +1 more source

A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies

BMC Medical Research Methodology, 2018
Background The main purpose of dose-finding studies in Phase I trial is to estimate maximum tolerated dose (MTD), which is the maximum test dose that can be assigned with an acceptable level of toxicity.
Niansheng Tang, Songjian Wang, Gen Ye
doaj   +1 more source

Count data models for demographic data∗ [PDF]

Mathematical Population Studies, 1994
"This paper deals with the estimation of single equation models in which the counts are regressed on a set of observed individual characteristics such as age, gender, or nationality.... We propose a generalized event count model to simultaneously allow for a wide class of count data models and account for over- and underdispersion.
Winkelmann, Rainer, Zimmermann, Klaus F
openaire   +3 more sources

Correction to: On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

BMC Genomics, 2020
An amendment to this paper has been published and can be accessed via the original article.
Alemu Takele Assefa, Jo Vandesompele, Olivier Thas   +2 more
doaj   +1 more source

Variational Bayesian Inference in High-Dimensional Linear Mixed Models

Mathematics, 2022
In high-dimensional regression models, the Bayesian lasso with the Gaussian spike and slab priors is widely adopted to select variables and estimate unknown parameters. However, it involves large matrix computations in a standard Gibbs sampler.
Jieyi Yi, Niansheng Tang
doaj   +1 more source

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

BMC Genomics, 2020
Background In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost ...
Alemu Takele Assefa, Jo Vandesompele, Olivier Thas   +2 more
doaj   +1 more source

Turbulence Modeling in the Age of Data [PDF]

Annual Review of Fluid Mechanics, 2018
Data from experiments and direct simulations of turbulence have historically been used to calibrate simple engineering models such as those based on the Reynolds-averaged Navier–Stokes (RANS) equations.
K. Duraisamy, G. Iaccarino, Heng Xiao
semanticscholar   +1 more source

Inverse Modeling for MEG/EEG data

, 2017
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently ...
A Doucet, A Galka, A Gramfort, A Pascarella, A Sorrentino, A Sorrentino, A Sorrentino, C Campi, C Lamus, CJ Long, D Calvetti, DK Nguyen, E Somersalo, F Cardinale, F Pasquale de, F-H Lin, G Dassios, GR Barnes, H Murakami, JC Mosher, JC Mosher, JM Antelis, JR Wolpaw, K Sekihara, K Uutela, K Uutela, L Miao, L Rabiner, M Hämäläinen, M Kowalski, MS Hämäläinen, PJ Green, R Bouet, RG Andrzejak, S Pursiainen, S Sommariva, SC Jun, TS Tian, V Vivaldi, W Ou, X Chen   +40 more
core   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

Mathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen   +6 more
doaj   +1 more source

A High Resolution Reanalysis for the Mediterranean Sea

Frontiers in Earth Science, 2021
In order to be able to forecast the weather and estimate future climate changes in the ocean, it is crucial to understand the past and the mechanisms responsible for the ocean variability.
Romain Escudier, Emanuela Clementi, Andrea Cipollone, Jenny Pistoia, Massimiliano Drudi, Alessandro Grandi, Vladislav Lyubartsev, Rita Lecci, Ali Aydogdu, Damiano Delrosso, Mohamed Omar, Simona Masina, Giovanni Coppini, Nadia Pinardi   +13 more
doaj   +1 more source