Methods for Evaluating Agglomerative Hierarchical Clustering for Gene Expression Data: A Comparative Study-Reference-Cited by-同舟云学术

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Methods for Evaluating Agglomerative Hierarchical Clustering for Gene Expression Data: A Comparative Study

Published:2015 Issue:6 Volume:3 Page:88
ISSN:2330-8265
Container-title:Computational Biology and Bioinformatics
language:en
Short-container-title:CBB

Author:

Bipul Hossen Md.

Publisher

Science Publishing Group

Subject

General Medicine

Link

http://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20150306.12.pdf

Cited by 12 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. Motion segmentation using Ward’s hierarchical agglomerative clustering for crowd disaster risk mitigation;International Journal of Disaster Risk Reduction;2024-02

2. Associative Classifier Coupled With Unsupervised Feature Reduction for Dengue Fever Classification Using Gene Expression Data;IEEE Access;2022

3. Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data;Nucleic Acids Research;2021-07-06

4. A generalized average linkage criterion for Hierarchical Agglomerative Clustering;Applied Soft Computing;2021-03

5. Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data;2020-11-05

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