We thank Evelina Akimova, Augustine Kong, Aysu Okbay, and Patrick Turley for helpful comments on the manuscript. Previous versions of the paper were presented to and benefited from comments by members ...
Abstract: Interest in detecting networks responsible for phenotypes spans multiple scientific disciplines, including proteomics and neuroscience. Latent variable models, such as Principal Component ...
Genome-wide association studies (GWAS) for biomarkers and molecular phenotypes can lead to clinically relevant discoveries. Numerous lines of evidence from model organisms and human studies suggest ...
Price of iron ore is affected by instabilities of microeconomic balance between supply and demand. Periods of equilibrium adjustment result in huge swings, growth or global recession. They also impact ...
Background and Objective: Bone age detection plays an important role in medical care, sports, judicial expertise and other fields. Traditional bone age identification and detection is according to ...
Real-world data complexity requires identifying strong independent variables for accurate predictions. Dimensionality reduction techniques help simplify datasets by focusing on the most effective ...
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of ...
The principal component regression (PCR) based soft sensor modeling technique has been widely used for process quality prediction in the last decades. While most industrial processes are characterized ...
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