Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.
Deep learning
SVM
convolutional neural network
gene expression
protein network
spectral clustering
Journal
Journal of bioinformatics and computational biology
ISSN: 1757-6334
Titre abrégé: J Bioinform Comput Biol
Pays: Singapore
ID NLM: 101187344
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
entrez:
11
7
2019
pubmed:
11
7
2019
medline:
16
7
2020
Statut:
ppublish
Résumé
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the processing of complex networks structures as well as its integration with transcriptome data. Here, we propose a CNN approach that combines spectral clustering information processing to classify lung cancer. The developed
Identifiants
pubmed: 31288636
doi: 10.1142/S0219720019400079
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM