seqchange is highlighted in yellow, which means that the SVM performance is good judging by using those papers fristpassed. I need to obtain a list of curated paper IDs to validate the results.
|Data Type||ID_Num_0709||Methdos||Ids of curated paper||Flag email (from first pass form)|
|seqchange||1000||SVM||need||genenames at wormbase dot org|
Among the above, we have run SVM on seqchange using the papers have already firstpassed/flagged as training/testing set and the performance is looking pretty good (recall/precision > 0.9). The next step is to see whether we have enough number of curated seqchage papers to use as training set (normally >400 papers), and if there is no enough curated papers, we'll need to check how clean these flagged seachange papers are, i.e., the datacurator for seqchange would have to check ~ 20 randomly selected papers among them. The datatype curator for seqchange may also want to validate the SVM resutls for a few runs on the new coming IDs so to provide quick feedback and we could see how we could improve the performance.
October 21, 2009
To try to improve precision, we constructed a training set using curated papers gleaned from the Evidence hash in the Type_of_mutation tag in the ?Variation model.
December 7, 2009
Checking the new training set: Random Selection of New Training Set Papers
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