Results 251 to 260 of about 436,673 (317)

Bayesian Inference for Drug Discovery by High Negative Samples and Oversampling. [PDF]

Bioinform Biol Insights
Le MH, Dao NA, Dang XT.
europepmc   +1 more source

Data variability in neural network Bayesian inference

Lindner, Javed, Dahmen, David, Krämer, Michael, Helias, Moritz   +3 more
openalex   +1 more source

Evaluating Transcriptomic Biomarkers for rHuEPO Detection: Assessing the Impact of Exercise and Altitude Exposure

Drug Testing and Analysis, EarlyView.
A two‐stage transcriptomic filter comparing rHuEPO, exercise and altitude responses reduced 153 candidate genes to 50 that were unaffected by physiological stimuli. These retained transcripts offer focused biomarker leads to strengthen antidoping detection of rHuEPO.
Daria Obratov, Shaun Sutehall, Longhua Liu, Zhao Zhongying, Yannis Pitsiladis   +4 more
wiley   +1 more source

Changes in facial expressions can distinguish Parkinson's disease via Bayesian inference. [PDF]

Front Neurol
Mouse M, Gong H, Liu Y, Xu F, Zou X, Huang M, Yang X.   +6 more
europepmc   +1 more source

Statistical Discrimination of Urinary Steroid Biomarkers in the Athlete Biological Passport: A Novel Approach to an Abnormal Steroid Profile Score (ASPS)

Drug Testing and Analysis, EarlyView.
The study developed a single Abnormal Steroid Profile Score (ASPS) to improve interpretation of the Athlete Biological Passport steroid module. Using Bayesian modelling and logistic regression, biomarker patterns from laboratory and doping control data successfully discriminated between doped and clean individuals, with improved classification ...
James G. Hopker, Jim E. Griffin, Matthew N. Fedoruk, Laura A. Lewis   +3 more
wiley   +1 more source

Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach. [PDF]

Bull Math Biol
Penn MJ, Scheidwasser N, Donnelly CA, Duchêne DA, Bhatt S.   +4 more
europepmc   +1 more source

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Bayesian inference informed by parameter subset selection for a minimal PBPK brain model. [PDF]

Philos Trans A Math Phys Eng Sci
Dadashova K, Smith RC, Haider MA, Reich BJ.   +3 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

An introduction to Sequential Monte Carlo for Bayesian inference and model comparison-with examples for psychology and behavioral science. [PDF]

Behav Res Methods
Hinne M.
europepmc   +1 more source