Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances-Reference-Cited by-同舟云学术

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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published:2018-10-11 Issue:140 Volume: Page:
ISSN:1940-087X
Container-title:Journal of Visualized Experiments
language:en
Short-container-title:JoVE

Author:

Feng Xin,Wang Shaofei,Liu Quewang,Li Han,Liu Jiamei,Xu Cheng,Yang Weifeng,Shu Yayun,Zheng Weiwei,Yu Bingxin,Qi Mingran,Zhou Wenyang,Zhou Fengfeng

Publisher

MyJove Corporation

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Chemical Engineering,General Neuroscience

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets;Journal of Visualized Experiments;2024-03-01

2. Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach;IEEE Transactions on Evolutionary Computation;2023-04

3. Recognizing Non-small Cell Lung Cancer Subtypes by a Constraint-Based Causal Network from CT Images;Machine Learning and Knowledge Discovery in Databases;2023

4. Predicting Cancer Risks By A Constraint-Based Causal Network;2020 IEEE International Conference on Multimedia and Expo (ICME);2020-07

5. MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI;IEEE Access;2020

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