JSTOR Daily

Bayesian Model Selection in Complex Linear Systems, as Illustrated in Genetic Association Studies

This is a preview. Log in through your library . Abstract Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model ...
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Complex deep learning models are no better at understanding genetic perturbation than simple baseline ones, study finds

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Subscribe to our newsletter ...
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Simple Linear Cancer Risk Prediction Models With Novel Features Outperform Complex Approaches

Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415 The ability to ...
Electronic Design

Modeling on Mondays: SPICE Modeling of Common Active Devices—An Overview (Part 1)

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

Advanced optical model offers clearer insights into complex materials

Scientists have outlined an approach for interpreting how materials interact with polarized light, which could benefit ...