Computational Intelligence Methods for Bioinformatics and Biostatistics - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- A Commentary on a Censored Regression Estimator -- Abstract -- 1 Scientific Background -- 1.1 Median Regression -- 2 Materials and Methods -- 3 Results -- 3.1 One-Sample Experiments -- 3.1.1 Simulations -- 3.2 Regression Experiments -- 3.2.1 Simulation: IID Error, Input-Dependent Censoring -- 3.2.2 Simulation: IID Error, IID Censoring -- 3.2.3 Simulation: IID Error, Constant Censoring -- 3.2.4 Stanford Heart Transplant Data -- 3.2.5 German Breast Cancer Study Group 2 Data -- 3.2.6 Drug Relapse Data from Hosmer and Lemeshow -- 4 Conclusions -- References -- Selecting Random Effect Components in a Sparse Hierarchical Bayesian Model for Identifying Antigenic Variability -- 1 Introduction -- 2 SABRE Method -- 2.1 Likelihood -- 2.2 Noise and Intercept Priors -- 2.3 Spike and Slab Priors -- 2.4 Random-Effects Priors -- 2.5 Posterior Inference -- 3 Random Effect Selection Methods -- 3.1 Cross Validation -- 3.2 WAIC -- 3.3 Multiple Parameter Spike and Slab Prior -- 4 Simulated Data -- 5 FMDV Data -- 6 Computational Inference -- 7 Simulation Study Results -- 8 FMDV Results -- 9 Discussion -- 10 Appendix -- References -- Comparison of Gene Expression Signature Using Rank Based Statistical Inference -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Retrieval -- 2.2 Comparison of Gene Expression Signature Using Prototype Rank List -- 2.3 Rank-Rank Hypergeometric Overlap Test Analysis -- 2.4 Gene Set Enrichment Analysis -- 3 Results -- 3.1 Distance Calculation and Clustering of Gene Expression Profiles -- 3.2 RRHO Analysis -- 3.3 Gene Set Enrichment Analysis -- 4 Conclusion -- References -- Managing NGS Differential Expression Uncertainty with Fuzzy Sets -- 1 Scientific Background -- 2 Materials and Methods -- 2.1 Fuzzy Representation of Gene Expression

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