Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data-Reference-Cited by-同舟云学术

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Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data

Published:2024-05-01 Issue:5 Volume:31 Page:458-471
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Mohammed Isra¹^ORCID,Elbashir Murtada K.²³,Faggad Areeg S.⁴

Affiliation:

1. Department of Statistics, Faculty of Mathematical and Computer Sciences, University of Gezira, Wad Madani, Sudan.

2. Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.

3. Department of Computer Science, Faculty of Mathematical and Computer Sciences, University of Gezira, Wad Madani, Sudan.

4. Department of Molecular Biology, National Cancer Institute–University of Gezira, Wad Madani, Sudan.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2023.0198

Reference29 articles.

1. DNA methylation-based classification of central nervous system tumours

2. Molecular subgrouping of medulloblastoma based on few-shot learning of multitasking using conventional MR images: a retrospective multicenter study

3. An effective method using clustering-based adaptive decomposition and editing-based diversified oversamping for multi-class imbalanced datasets

4. High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

5. Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning

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