Class Prediction and Gene Selection for DNA Microarrays Using Sliced Inverse Regression

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  • Preface
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  • Contents
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  • Index of Authors
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  • Marginal Moels
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  • Statistical Analysis of Replicated Microarray Time Series Data
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  • Model Selection for Regression Analyses with Missing Data
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  • Localizing Clusters in Space-Time Point Process Data
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  • Pairwise Likelihood for Generalized Linear Models with Crossed Random Effects
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  • Linking Gene-Expression Experiments with Survival-Time Data
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  • Rank Tests of Conditional Independence for Continuous Variables
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  • Investigating Gene-Specific Variance via Bayesian Hierarchical Modelling
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  • On the Clustering Term in Ecological Analysis
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  • Bayesan Focused Clustering for a Case-Control Study on Lung Cancer in Trieste
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  • Imputing Missing Phenotypes
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  • Statistical Inference for Data Files That Are Computer Linked
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  • Advances in Covariance Modelling
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  • Nonparametric Modelling of Longitudinal Data
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  • Quasi-Monte Carlo Estimation in Generalized Linear Mixed Models
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  • Modelling Covariance Structures in Generalized Estimating Equations for Longitudinal Data
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  • Count Distributions with Mixed Poisson Random Effects
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  • Improving the Relevance Vector Machine Under Covariate Measurement Error
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  • Class Prediction and Gene Selection for DNA Microarrays Using Sliced Inverse Regression
  • Is the Gene Between the Two Markers or Not?
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  • Bayesian Covariance and Variable Selection for Explaining Consumer Behaviour
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  • Hierarchical Bayesian Modelling of Spatial Interactions of Gene Expression on Tubercolosis Genome
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  • Multivariate Linear Model for Selection of Oilseed Rape Genotypes
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  • Mixed Model for Studying the Stability of Phenotypic Gene Effects
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  • Split-Plot x Split-Block Type Three Factor Designs
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  • A Split-Plot Analysis for Microarray Experiments
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  • Comparison Between the Parametric Mixing Distribution with Moverstayer Model and the Nonparametric Mixing Distribution for the Analysis of Tower London Data
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  • Daily Volatility Modelling Using Ultra-High Frequency Data
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  • Control of the False Discovery Rate with Bayes Factors. An Application to Microarray Data Analysis
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  • Parametric vs Semiparametric in Interval Censored Data
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  • A Statistical Method for the Estimation of CHildhood Cancer Prevalence Among Adults
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  • Modelling the Costs of Different Strategies after Myocardial Infarction
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  • Semiparametric Comparison of Two Samples
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  • Analysis of Interval-Censored Data
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  • Two-Stage Models to Control for Overdispersion in Longitudinal Count Data
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  • Multilevel Logit Models
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  • Power-Divergence Goodness-Of-Fit Statistics
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  • A Latent Variable Model of Creativity and Social Compromise
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  • Quasi-Likelihood Ratio Statistic for Robust Hypotesis Testing in the Presence of Nuisance Parameters
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  • Microarray Experiments for Gene Expression in Fish Stress Studies
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  • A Growth Mixture Model for Multivariate Outcomes
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  • Exact Bayesian Inference for Bivariate Poisson Data
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  • An Evaluation of Classification Techniques Applied to the Field of NIR/IR Spectroscopy
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  • Approximated Piecewise Linear Mixed Modelling with Random Changepoints for Longitudinal Data Analysis
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  • A Comparison Between Measure Scales for Quality Evaluation Using the Rasch Model
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  • On Probabilities of Avalanches Trioggered by Alpine Skiers. An Application of Models for Counts with Extra Zeros
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  • Fieller's Method for Mixed Models
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  DOI: 10.1400/40258

  Permalink: https://digital.casalini.it/10.1400/40258