A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data-Reference-Cited by-同舟云学术

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A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data

Published:2023-02-06 Issue: Volume: Page:1-11
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Zhang Xiao¹^ORCID,Shi Xingjie¹^ORCID,Liu Yiming²^ORCID,Liu Xu²^ORCID,Ma Shuangge³^ORCID

Affiliation:

1. KLATASDS-MOE, Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China

2. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China

3. Department of Biostatistics, Yale University, New Haven, CT

Funder

National Institutes of Health

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2152034

Reference36 articles.

1. Tumour mutation status and melanoma recurrence following a negative sentinel lymph node biopsy

2. Immunomagnetic-Enriched Subpopulations of Melanoma Circulating Tumour Cells (CTCs) Exhibit Distinct Transcriptome Profiles

3. Assessing the accuracy of prediction algorithms for classification: an overview

4. A lasso for hierarchical interactions

5. Statistics for High-Dimensional Data

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1. Multi-Objective Parameter Optimized Design of Self-Oscillating Cavitation Jet Nozzles;Energies;2023-09-21

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