Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection ...
We propose a procedure associated with the idea of the E-M algorithm for model selection in the presence of missing data. The idea extends the concept of parameters to include both the model and the ...
Model search in probit regression is often conducted by simultaneously exploring the model and parameter space, using a reversible jump MCMC sampler. Standard samplers often have low model acceptance ...
Assessing the Training and Research Environment for Genomics, Bioinformatics, and Immunology in Radiation Oncology Including a radiomic signature results in better prediction than using only clinical ...
Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more A new technique developed by much-hyped ...
Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series ...
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