The following pages link to page(s) (P128):
Displaying 50 items.
- 1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints (Q107687) (← links)
- Metabolic Age Based on the BBMRI-NL 1 H-NMR Metabolomics Repository as Biomarker of Age-related Disease (Q107753) (← links)
- Metabolite Profiling and Cardiovascular Event Risk (Q107838) (← links)
- Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts (Q107850) (← links)
- Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data (Q107882) (← links)
- Bayesian inference of transmission chains using timing of symptoms, pathogen genomes and contact data (Q107900) (← links)
- speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification (Q107950) (← links)
- SVM-Maj: a majorization approach to linear support vector machines with different hinge errors (Q107957) (← links)
- Analyzing the fine structure of distributions (Q107965) (← links)
- Parsimonious Gaussian mixture models (Q107979) (← links)
- Model-based classification using latent Gaussian mixture models (Q107980) (← links)
- Model-based clustering of microarray expression data via latent Gaussian mixture models (Q107981) (← links)
- Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models (Q107986) (← links)
- Efficient algorithms using subiterative convergence for Kemeny ranking problem (Q107991) (← links)
- Practical powerful wavelet packet tests for second-order stationarity (Q108016) (← links)
- Computation of Two- and Three-Dimensional Confidence Regions With the Likelihood Ratio (Q108026) (← links)
- Plotting Likelihood-Ratio-Based Confidence Regions for Two-Parameter Univariate Probability Models (Q108028) (← links)
- Fundamental clustering algorithms suite (Q108031) (← links)
- Clustering benchmark datasets exploiting the fundamental clustering problems (Q108033) (← links)
- Robustness and Model Selection in Configurational Causal Modeling (Q108038) (← links)
- Updating of the Gaussian graphical model through targeted penalized estimation (Q108069) (← links)
- The Generalized Ridge Estimator of the Inverse Covariance Matrix (Q108070) (← links)
- Sequential Learning of Regression Models by Penalized Estimation (Q108072) (← links)
- Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy (Q108075) (← links)
- Feature selection using Joint Mutual Information Maximisation (Q108082) (← links)
- RInSp: anrpackage for the analysis of individual specialization in resource use (Q108087) (← links)
- Modeling Time Series with Calendar Variation (Q108096) (← links)
- Estimating Trend and Growth Rates in Seasonal Time Series (Q108100) (← links)
- Intervention Analysis with Applications to Economic and Environmental Problems (Q108103) (← links)
- Joint Estimation of Model Parameters and Outlier Effects in Time Series (Q108106) (← links)
- Use of Pleiotropy to Model Genetic Interactions in a Population (Q108128) (← links)
- CAPE: An R Package for Combined Analysis of Pleiotropy and Epistasis (Q108131) (← links)
- RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR (Q108182) (← links)
- Robust gene–environment interaction analysis using penalized trimmed regression (Q108189) (← links)
- Accommodating missingness in environmental measurements in gene-environment interaction analysis (Q108193) (← links)
- Robust identification of gene-environment interactions for prognosis using a quantile partial correlation approach (Q108195) (← links)
- GEInter: an R package for robust gene–environment interaction analysis (Q108199) (← links)
- Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis (Q108205) (← links)
- Fast fixed-point independent vector analysis algorithms for convolutive blind source separation (Q108209) (← links)
- A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning (Q108223) (← links)
- Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model (Q108225) (← links)
- The trait-state-error model for multiwave data. (Q108234) (← links)
- More stable estimation of the STARTS model: A Bayesian approach using Markov chain Monte Carlo techniques. (Q108239) (← links)
- A note on marginalization of regression parameters from mixed models of binary outcomes (Q108258) (← links)
- GerminaR: An R package for germination analysis with the interactive web application “GerminaQuant for R” (Q108277) (← links)
- Comment on “Evaluation of automated techniques for base flow and recession analyses” by R. J. Nathan and T. A. McMahon (Q108281) (← links)
- How much complexity is warranted in a rainfall-runoff model? (Q108284) (← links)
- Algorithm grwat for Automated Hydrograph Separation by B.I. Kudelin’s Method: Problems and Perspectives (Q108292) (← links)
- Marginal Analyses of Clustered Data When Cluster Size Is Informative (Q108310) (← links)
- Variance estimation in tests of clustered categorical data with informative cluster size (Q108311) (← links)
