GitHub - robince/bayesian-prevalence: Bayesian inference of population prevalence
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study | Journal of Chemical Information and Modeling
Reporting Summary
ecTMB: a robust method to estimate and classify tumor mutational burden | Scientific Reports
GitHub - mainkoon81/ooo-Bayesian-Modeling-A: PGM(Bayesian Network) & its Inference(with MCMC)
A generalized deep learning framework for whole-slide image segmentation and analysis | Scientific Reports
r_IPgeocode/CRANpkgMaintainers.csv at master · cengel/r_IPgeocode · GitHub
Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data | Nature Communications
PDF) The Problem with Kappa
An Overview of Machine Learning and Big Data for Drug Toxicity Evaluation | Chemical Research in Toxicology
Genomic landscape and chronological reconstruction of driver events in multiple myeloma | Nature Communications
GitHub - cran/MachineShop: This is a read-only mirror of the CRAN R package repository. MachineShop — Machine Learning Models and Tools. Homepage: https://brian-j-smith.github.io/MachineShop/ Report bugs for this package: https://github.com/brian-j ...
PDF] Comparing dependent kappa coefficients obtained on multilevel data
Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis | Nature Communications
GitHub - IBMPredictiveAnalytics/STATS_WEIGHTED_KAPPA: Weighted Kappa Statistic Using Linear or Quadratic Weights
A Coefficient of Agreement for Nominal Scales - Jacob Cohen, 1960
Frontiers | Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI
GitHub - IBMPredictiveAnalytics/STATS_WEIGHTED_KAPPA: Weighted Kappa Statistic Using Linear or Quadratic Weights
bayesian-statistics · GitHub Topics · GitHub
GitHub - mainkoon81/ooo-Bayesian-Modeling-A: PGM(Bayesian Network) & its Inference(with MCMC)
A General Machine Learning Framework for Survival Analysis | SpringerLink
GitHub - vidhig/stock-closing-price-prediction-bayesian-analysis: Using mean filed approximation techniques on time series analysis forecast the closing price of Amazon's stocks.