All genes pglm predictions for yeast with GO+ARCHS4 features.

مواد مشابهة

• All genes pglm predictions for worm with GO+ARCHS4 features.
  حسب: F. William Townes (3216846)
  منشور في: (2020)
• Receiver operator curves (ROC) for the best performing algorithm (pglm: Elastic net penalized logistic regression) with the best performing feature sets (GO+GXP for yeast and GO+ARCHS4 for worm).
  حسب: F. William Townes (3216846)
  منشور في: (2020)
• Top pro-longevity and anti-longevity genes not in GenAge predicted using GO terms and ARCHS4 gene expression for worm and yeast with the pglm (GLM-Net) algorithm.
  حسب: F. William Townes (3216846)
  منشور في: (2020)
• Top GO terms identified by the pglm (GLM-Net) algorithm.
  حسب: F. William Townes (3216846)
  منشور في: (2020)
• Distribution of predictive probabilities after training elastic net penalized logistic regression (pglm) on the full GenAge dataset with GO terms and ARCHS4 gene expression as features.
  حسب: F. William Townes (3216846)
  منشور في: (2020)