Partial Least Squares (PLS) methods are particularly suited to the analysis of relationships
between measures of brain activity and of behavior or experimental design. In …

Driven by high-throughput sequencing techniques, modern genomic and clinical studies are
in a strong need of integrative machine learning models for better use of vast volumes of …

This is a book on data analysis with a specific focus on the practice of predictive modeling.
The term predictive modeling may stir associations such as machine learning, pattern …

Abstract NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne
full waveform lidar data with a primary science goal of producing accurate estimates of forest …

The caret package, short for classification and regression training, contains numerous tools
for develo** predictive models using the rich set of models available in R. The package …

The first edition of Geometric Morphometrics for Biologists has been the primary resource for
teaching modern geometric methods of shape analysis to biologists who have a stronger …

Urine metabolomics is widely used for biomarker research in the fields of medicine and
toxicology. As a consequence, characterization of the variations of the urine metabolome …

The biological carbon pump is the process by which CO2 is transformed to organic carbon
via photosynthesis, exported through sinking particles, and finally sequestered in the deep …