Feature selection may improve deep neural networks for the bioinformatics problems

Z Chen, M Pang, Z Zhao, S Li, R Miao, Y Zhang… - …, 2020 - academic.oup.com
Motivation Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …

[PDF][PDF] Feature selection may improve deep neural networks for the bioinformatics problems

Z Chen, M Pang, Z Zhao, S Li, R Miao, Y Zhang… - …, 2020 - researchgate.net
Motivation: Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …

Feature selection may improve deep neural networks for the bioinformatics problems

Z Chen, M Pang, Z Zhao, S Li… - Bioinformatics …, 2020 - pubmed.ncbi.nlm.nih.gov
Motivation Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …

Feature selection may improve deep neural networks for the bioinformatics problems

Z Chen, M Pang, Z Zhao, S Li, R Miao, Y Zhang… - …, 2020 - academic.oup.com
Motivation Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …

Feature selection may improve deep neural networks for the bioinformatics problems.

Z Chen, M Pang, Z Zhao, S Li, R Miao… - …, 2020 - search.ebscohost.com
Motivation Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …

Feature selection may improve deep neural networks for the bioinformatics problems.

Z Chen, M Pang, Z Zhao, S Li, R Miao… - Bioinformatics (Oxford …, 2020 - europepmc.org
Results A comprehensive comparative study was carried out by evaluating 11 feature
selection algorithms on three conventional DNN algorithms, ie convolution neural network …