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A graph-embedded deep feedforward network for disease outcome
  classification and feature selection using gene expression data

A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data

18 January 2018
Yunchuan Kong
Tianwei Yu
    AI4CE
ArXivPDFHTML

Papers citing "A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data"

2 / 2 papers shown
Title
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
0
0
17 Apr 2025
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning
  for Cancer Prognosis Prediction
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Kaiwen Tan
Weixian Huang
Xiaofeng Liu
Jinlong Hu
Shoubin Dong
19
42
0
22 Jan 2022
1