Model-Based Clustering, Classification, and Denisty Estimation Using mclust in R Model-
based clustering and classification methods provide a systematic statistical approach to …

Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few
therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a …

Hands-on Machine Learning with R provides a practical and applied approach to learning
and develo** intuition into today's most popular machine learning methods. This book …

Finite mixture models are being used increasingly to model a wide variety of random
phenomena for clustering, classification and density estimation. mclust is a powerful and …

Intra-tumor heterogeneity (ITH) is a mechanism of therapeutic resistance and therefore an
important clinical challenge. However, the extent, origin, and drivers of ITH across cancer …

Abstract Objective Type 2 diabetes (T2D) is a complex disease characterized by pancreatic
islet dysfunction, insulin resistance, and disruption of blood glucose levels. Genome-wide …

Smallholder farmers might adopt different farming practices to cope with multiple stressors
depending on their livelihood assets, and with varying environmental and economic …

Tropical agroforestry systems provide a number of ecosystem services that might help
sustain the production of multiple crops, improve farmers' livelihoods and conserve …

Mental accounting describes a series of cognitive operations that help organize financial
activities and facilitate money management. Self-employed taxpayers who make use of a …

Keystroke logging and clickstream data, both emergent areas of study in the field of learning
analytics, present promising alternative methods of detecting and preventing contract …