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Are there applications of semi-supervised learning to genomics?

Personal view Semi-supervised learning is basically unsupervised learning with weights, so the "label" or "category" can be quantified rather than approximately clustered as occurs ...
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Intepreting and applying ordinal logistic regression coefficients to calculate probabilities?

Its a while since I've done GLM because ML is the method of choice. Question1 Yes multi-linear regression is an approximate description of GLM. Generally the weights simply mean whether a feature is ...
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