This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint...
This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, econom...
In this volume expert researchers detail "in silico" methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful "Methods in Molecular Biology" series format, chapters...
In this volume expert researchers detail "in silico" methods widely used to study peptides. These include methods and techniques covering the datab...
In this volume expert researchers detail in silico methods widely used to study peptides. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials.
In this volume expert researchers detail in silico methods widely used to study peptides. Chapters focus on integration and application of technologie...
