2주가 남았으니 아마 반드시 잊어버릴 것 같다.
일단 Precision Recall 관련 개념과 수식들 다시 봐야함 특히 ROC 커브 개념은 다시 자세히 봐야함.
A/B 테스트는 그렇고.
Potti 선생님(피고인이라고 해야하나^^;) 은 왜 그러셨니; 아무튼 이것도 뭔가 실험재현 차원에서 보긴해야할 것 같은데 우선 아래 4 개는 명시되어있던 거니 적어도 뭔지는 다시 봐야함.
1. Respondent stated in grant application 1 R01 CA136530-01A1 that 6 out of 33 patients responded positively to dasatinib(약이름) when only 4 patients were enrolled and none responded and that the 4 CT scans presented in Figure 14 were from the lung cancer study when they were not.
2. Respondent altered data sets to improve the accuracy of predictors for response to treatments in a submitted paper and in the research record by:
. Reversing the responder status of 24 out of 133 subjects for the adriamycin(약이름) predictor in a manuscript submitted to Clinical Cancer Research
. switching the cancer recurrence phenotype for 46 out of 89 samples to validate the LMS predictor in a file provided to a colleague in 2008
. changing IC-50 and R-code values for the cisplatin(약이름) predictor in a data set provided to NCI in 2010
잊어버리겠지만 다시 상기해야한 다는 사실을 잊지말길 ^^;