Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

Abstract Background The small number of samples and the curse of dimensionality hamper the better application of deep learning techniques for disease classification. Additionally, the performance of clustering-based feature selection algorithms is still far from being satisfactory due to their limit...

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Bibliographic Details
Main Authors: Da Xu, Jialin Zhang, Hanxiao Xu, Yusen Zhang, Wei Chen, Rui Gao, Matthias Dehmer
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Genomics
Subjects:
Feature selection
Machine learning
Classification
Biomarker
Therapeutic target
Clustering
Online Access:http://link.springer.com/article/10.1186/s12864-020-07038-3

Internet

http://link.springer.com/article/10.1186/s12864-020-07038-3

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