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Classification of Cancer Types Using Graph Convolutional Neural Networks
Ricardo Ramirez
, Yu Chiao Chiu
, Allen Hererra
, Milad Mostavi
, Joshua Ramirez
,
Yidong Chen
, Yufei Huang
, Yu Fang Jin
Research output
:
Contribution to journal
›
Article
›
peer-review
98
Scopus citations
Overview
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Medicine and Dentistry
Malignant Neoplasm
100%
Cancer Types
88%
Protein-Protein Interaction
44%
Tissues
44%
Neoplasm
22%
Gene Expression
22%
Marker Gene
22%
Learning
22%
Marker
22%
Drive
22%
Atlas
22%
Diseases
11%
Diagnosis
11%
Survival Rate
11%
Cause of Death
11%
Health Care Cost
11%
In Silico
11%
Development
11%
Gene
11%
Therapeutic Procedure
11%
Comprehension
11%
Accuracy
11%
Computer Science
Convolutional Neural Network
66%
Classification
44%
Neural Network Model
44%
Singletons
44%
Interaction Graph
22%
Prediction Accuracy
11%
Source Codes
11%
Health Care
11%
Research Community
11%
Machine Learning Technique
11%
Economic Impact
11%
Learning Approach
11%
Treatment Outcome
11%
Classes
11%
Modeling
11%
Diagnosis
11%
Deep Learning
11%
Immunology and Microbiology
Classification
44%
Protein Protein Interaction
44%
Tissues
44%
Sample
33%
Gene Expression
22%
Marker Gene
22%
Learning
22%
Survival Rate
11%
Computer Model
11%
Development
11%
Gene
11%
Comprehension
11%
Health
11%
Experiment
11%
Accuracy
11%
Biochemistry, Genetics and Molecular Biology
Classification
44%
Protein-Protein Interaction
44%
Sample
33%
Gene Expression
22%
Marker Gene
22%
Learning
22%
Drive
22%
Nested Gene
11%
Development
11%
Survival Rate
11%
Computer Model
11%
Comprehension
11%
Health
11%
Experiment
11%
Accuracy
11%
Neuroscience
Protein-Protein Interaction
44%
Gene Expression
22%
Marker Gene
22%
Gene
11%