A Group Feature Screening Procedure Based on Pearson Chi-Square Statistic for Biology Data with Categorical Response
The analysis of biogenetic data makes an important contribution to the understanding of disease mechanisms and the diagnosis of rare diseases. In this analysis, the selection of significant features affecting the disease provides an effective basis for subsequent disease judgment and treatment direc...
Saved in:
Main Authors: | Hanji He, Jianfeng He, Guangming Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2024/9014764 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Merit-based Incentive Payment System: Pearson’s Chi-Square and Categorical Dependent Variable Models Analyzed for Domains---Effective Clinical Care and Efficiency/Cost Reduction
by: Amrita Shenoy
Published: (2021-12-01) -
Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random
by: Hanji He, et al.
Published: (2020-01-01) -
Group Feature Screening Based on Information Gain Ratio for Ultrahigh-Dimensional Data
by: Zhongzheng Wang, et al.
Published: (2022-01-01) -
The Assignment of Scores Procedure for Ordinal Categorical Data
by: Han-Ching Chen, et al.
Published: (2014-01-01) -
Modules Identification in Gene Positive Networks of Hepatocellular Carcinoma Using Pearson Agglomerative Method and Pearson Cohesion Coupling Modularity
by: Jinyu Hu, et al.
Published: (2012-01-01)