Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet)

Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet)

Cancer classification using gene expressions is extremely challenging given the complexity and high dimensionality of the data. Current classification methods typically rely on samples collected from a single tissue type and perform a prerequisite of gene feature selection to avoid processing the fu...

Full description

Bibliographic Details
Main Authors: Tarek Khorshed, Mohamed N. Moustafa, Ahmed Rafea
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cancer classification
convolutional neural networks
deep learning
gene expressions
next generation sequencing
RNA sequencing
Online Access:https://ieeexplore.ieee.org/document/9087866/

Internet

https://ieeexplore.ieee.org/document/9087866/

Similar Items