Results 31 to 40 of about 56,420 (266)

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

Study on structural health monitoring system using deep learning (Verification of effectiveness based on seismic response analysis using elastoplastic model)

Nihon Kikai Gakkai ronbunshu, 2022
Monitoring structural integrity has been demanded to achieve a sustainable society against disasters, including seismic and extreme wind events, and thus Structural Health Monitoring (SHM) system is one of the significant technologies.
Tsuyoshi FUKASAWA, Satoshi FUJITA, Takaki AEBA   +2 more
doaj   +1 more source

Bayesian Optimization with Gradients

CoRR, 2017
Bayesian optimization has been successful at global optimization of expensive-to-evaluate multimodal objective functions. However, unlike most optimization methods, Bayesian optimization typically does not use derivative information. In this paper we show how Bayesian optimization can exploit derivative information to decrease the number of objective ...
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier   +3 more
openaire   +3 more sources

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

Sentinel-2 Satellite Imagery for Urban Land Cover Classification by Optimized Random Forest Classifier

Applied Sciences, 2021
Land cover classification is able to reflect the potential natural and social process in urban development, providing vital information to stakeholders. Recent solutions on land cover classification are generally addressed by remotely sensed imagery and ...
Tianxiang Zhang, Jinya Su, Zhiyong Xu, Yulin Luo, Jiangyun Li   +4 more
doaj   +1 more source

Optimal Bayesian Randomization

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1997
Summary Randomization is a puzzle for Bayesians. The intuitive need for randomization is clear, but there is a standard result that Bayesians need not randomize. In this paper we propose a model in which randomization is a strictly optimal procedure.
Berry, Scott M., Kadane, Joseph B.
openaire   +2 more sources

Bayesian Optimization for Conformer Generation [PDF]

Journal of Cheminformatics, 2018
Generating low-energy molecular conformers is a key task for many areas of computational chemistry, molecular modeling and cheminformatics. Most current conformer generation methods primarily focus on generating geometrically diverse conformers rather than finding the most probable or energetically lowest minima.
Lucian Chan, Geoffrey R. Hutchison, Garrett M. Morris   +2 more
openaire   +4 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Development of graphical user interface for design of experiments via Gaussian process regression and its case study

Science and Technology of Advanced Materials: Methods
Bayesian optimization, coupled with Gaussian process regression and acquisition functions, has proven to be a powerful tool in the field of experimental design.
Yoshiki Hasukawa, Mikael Kuwahara, Lauren Takahashi, Keisuke Takahashi   +3 more
doaj   +1 more source

Surrogate modeling of waveform response using singular value decomposition and Bayesian optimization

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2021
In the early stage of vehicle development, it is required to implement a target cascading study by solving inverse problems. However, simulation costs of vehicle dynamics to predict transient responses and frequency responses make the target cascading ...
Kohei SHINTANI, Takao FUJIMOTO, Masaaki OKAMOTO, Atsuji ABE, Yasushi YAMAMOTO   +4 more
doaj   +1 more source