Selected article for: "gene expression and large number"

Author: Kshirsagar, Meghana; Carbonell, Jaime; Klein-Seetharaman, Judith
Title: Multitask learning for host–pathogen protein interactions
  • Document date: 2013_7_1
  • ID: sdgt2ms5_74
    Snippet: To get an understanding of inter-task model similarity, we compared the parameter vectors 'w' of all tasks with each other (each w was learned on the entire training data). Because the number of features is large, we computed the cosine similarity between them. Note that we only use features that are common across tasks for this comparison. Gene expression features for instance were not used as they vary with regard to the number of expression ti.....
    Document: To get an understanding of inter-task model similarity, we compared the parameter vectors 'w' of all tasks with each other (each w was learned on the entire training data). Because the number of features is large, we computed the cosine similarity between them. Note that we only use features that are common across tasks for this comparison. Gene expression features for instance were not used as they vary with regard to the number of expression time points, the experiment protocol, etc.

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