Neyman seminar: Cross-study Reproducibility of Predictions, with Application to Genomics

Neyman seminar: Cross-study Reproducibility of Predictions, with Application to Genomics

Neyman Seminar
Dec 10, 2014, 01:00 PM - 02:00 PM | 1011 Evans Hall | Happening As Scheduled
Giovanni Parmigiani, Department of Biostatistics, Harvard University
Numerous gene signatures of patient prognosis for late-stage, high-grade ovarian cancer have been published, but diverse data and methods have made these difficult to compare objectively. However, the corresponding large volume of publicly available expression data creates an opportunity to validate previous findings and to develop more robust signatures. We thus built a database of uniformly...