A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

Abstract Background Correctly classifying the subtypes of cancer is of great significance for the in-depth study of cancer pathogenesis and the realization of personalized treatment for cancer patients. In recent years, classification of cancer subtypes using deep neural networks and gene expression...

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Bibliographic Details
Main Authors: Lianxin Zhong, Qingfang Meng, Yuehui Chen, Lei Du, Peng Wu
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Bioinformatics
Subjects:
Cancer subtype
Cascade forest
Classification
Deep learning
Ensemble methods
Online Access:https://doi.org/10.1186/s12859-021-04391-2

Internet

https://doi.org/10.1186/s12859-021-04391-2

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