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Applied Biclustering Methods for Big and High-Dimensional Data Using R
Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including …
Exploration and Analysis of DNA Microarray and Other High-Dimensional Data
Praise for the First Edition “…extremely well written…a comprehensive and up-to-date overview of this important field.” – Journal of Environmental Quality Exploration and …
Applied Surrogate Endpoint Evaluation Methods with SAS and R
An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to …
Modeling Infectious Disease Parameters Based on Serological and Social Contact Data
Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters …