Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Please note that all translations are automatically generated. Click here for the English version.
7.4K Views
•
07:35 min
•
October 11th, 2018
DOI :
October 11th, 2018
•Xin Feng1, Shaofei Wang1, Quewang Liu1, Han Li2, Jiamei Liu2, Cheng Xu2, Weifeng Yang2, Yayun Shu2, Weiwei Zheng1, Bingxin Yu3, Mingran Qi4, Wenyang Zhou1, Fengfeng Zhou1
1College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, 2College of Software, Jilin University, 3Ultrasonography Department, China-Japan Union Hospital of Jilin University, 4Department of Pathogenobiology, College of Basic Medical Science, Jilin University
Rozdziały w tym wideo
0:04
Title
0:33
Dataset Preparation
1:48
Interactive Visualized Results Production
3:13
Gene Annotation Location and Association with Human Diseases
5:37
Results: Representative Biomarker Subset Selection
7:04
Conclusion
Powiązane Filmy
06:35
Basics of Multivariate Analysis in Neuroimaging Data
16.8K Views
07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
8.8K Views
07:15
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
6.6K Views
14:27
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
15.6K Views
04:57
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data
15.4K Views
12:18
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
7.4K Views
07:20
Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
36.2K Views
04:09
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
8.1K Views
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
31 Views
09:47
DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
901 Views
Copyright © 2025 MyJoVE Corporation. Wszelkie prawa zastrzeżone