Using the Random Generalized Linear Model to Predict Clinical Outcomes Based on Genomic DataThursday, 12 September 2013 at 16:30  Add to Calendar ▼2013-09-12 16:30:002013-09-12 17:30:00Europe/LondonUsing the Random Generalized Linear Model to Predict Clinical Outcomes Based on Genomic DataMicroarray World Congress in San Diego, CA, USASan Diego, CA, USASELECTBIOenquiries@selectbiosciences.comThe random generalized linear model (RGLM) predictor is a bootstrap aggregated GLM predictor that incorporates several elements of randomness and instability (random subspace method, optional interaction terms, forward variable selection). RGLM is a state of the art predictor that shares the advantages of a random forest (excellent predictive accuracy, feature importance measures) with those of a forward selected generalized linear model (interpretability). |
Add to Calendar ▼2013-09-12 00:00:002013-09-13 00:00:00Europe/LondonMicroarray World CongressMicroarray World Congress in San Diego, CA, USASan Diego, CA, USASELECTBIOenquiries@selectbiosciences.com
