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Towards Gene Expression Convolutions using Gene Interaction Graphs

Towards Gene Expression Convolutions using Gene Interaction Graphs

18 June 2018
Francis Dutil
Joseph Paul Cohen
Martin Weiss
Georgy Derevyanko
Yoshua Bengio
    GNN
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Papers citing "Towards Gene Expression Convolutions using Gene Interaction Graphs"

10 / 10 papers shown
Title
Using ontology embeddings for structural inductive bias in gene
  expression data analysis
Using ontology embeddings for structural inductive bias in gene expression data analysis
Maja Trebacz
Z. Shams
M. Jamnik
P. Scherer
Nikola Simidjievski
Helena Andrés-Terré
Pietro Lió
20
5
0
22 Nov 2020
Gene Regulatory Network Inference with Latent Force Models
Gene Regulatory Network Inference with Latent Force Models
Jacob Moss
Pietro Lió
DRL
11
1
0
06 Oct 2020
Incorporating network based protein complex discovery into automated
  model construction
Incorporating network based protein complex discovery into automated model construction
P. Scherer
Maja Trebacz
Nikola Simidjievski
Z. Shams
Helena Andrés-Terré
Pietro Lió
M. Jamnik
22
0
0
29 Sep 2020
A Systematic Approach to Featurization for Cancer Drug Sensitivity
  Predictions with Deep Learning
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning
Austin R. Clyde
Thomas Brettin
A. Partin
Maulik Shaulik
H. Yoo
Yvonne A. Evrard
Yitan Zhu
Fangfang Xia
Rick L. Stevens
17
7
0
30 Apr 2020
Learning Deep Attribution Priors Based On Prior Knowledge
Learning Deep Attribution Priors Based On Prior Knowledge
Ethan Weinberger
Joseph D. Janizek
Su-In Lee
FAtt
22
1
0
20 Dec 2019
Is graph-based feature selection of genes better than random?
Is graph-based feature selection of genes better than random?
Mohammad Hashir
Paul Bertin
Martin Weiss
Vincent Frappier
T. Perkins
G. Boucher
Joseph Paul Cohen
16
4
0
21 Oct 2019
Analysis of Gene Interaction Graphs as Prior Knowledge for Machine
  Learning Models
Analysis of Gene Interaction Graphs as Prior Knowledge for Machine Learning Models
Paul Bertin
Mohammad Hashir
Martin Weiss
Vincent Frappier
T. Perkins
G. Boucher
Joseph Paul Cohen
17
3
0
06 May 2019
Spatio-Temporal Deep Graph Infomax
Spatio-Temporal Deep Graph Infomax
Felix L. Opolka
Aaron Solomon
Cătălina Cangea
Petar Velickovic
Pietro Lió
R. Devon Hjelm
GNN
11
36
0
12 Apr 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu-Hu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
21
295
0
28 Feb 2019
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
39
1,319
0
11 Dec 2018
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