博士生讨论班2024[07]
时间：2024-11-04
阅读量：247次
- 演讲人： 胡晓玥
- 时间：2024年11日5日14:00
- 地点：浙江大学紫金港校区行政楼1417报告厅
报告文章：DeepPIG: deep neural network architecture with pairwise connected layers and stochastic gates using knockoff frameworks for feature selection (Euiyoung Oh & Hyunju Lee)
摘要：Using the knockoff filter framework, we present a Deep neural network with PaIrwise connected layers integrated with stochastic Gates (DeepPIG) for the feature selection model. DeepPIG exhibited better detection power in synthetic data than the baseline and recent models while not violating the preselected FDR level, especially when the signal of the features were weak. The selected features determined by DeepPIG demonstrated superior classification performance compared with the baseline model in real-world data analyses, including the prediction of certain cancer prognosis and classification tasks using microbiome and single-cell datasets.