metasnf: Meta Clustering with Similarity Network Fusion in R
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866917407437619200 |
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| author | Velayudhan, Prashanth S Xu, Xiaoqiao Kallurkar, Prajkta Balbon, Ana Patricia Secara, Maria T Taback, Adam Sabac, Denise Chan, Nicholas Ma, Shihao Wang, Bo Felsky, Daniel Ameis, Stephanie H Cox, Brian Hawco, Colin Erdman, Lauren Wheeler, Anne L |
| author_facet | Velayudhan, Prashanth S Xu, Xiaoqiao Kallurkar, Prajkta Balbon, Ana Patricia Secara, Maria T Taback, Adam Sabac, Denise Chan, Nicholas Ma, Shihao Wang, Bo Felsky, Daniel Ameis, Stephanie H Cox, Brian Hawco, Colin Erdman, Lauren Wheeler, Anne L |
| contents | metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF is a multi-modal data integration algorithm commonly used for biomedical subtype discovery. The package also contains functions to assist with cluster visualization, characterization, and validation. This package can help researchers identify SNF-derived cluster solutions that are guided by context-specific utility over context-agnostic measures of quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_17976 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | metasnf: Meta Clustering with Similarity Network Fusion in R Velayudhan, Prashanth S Xu, Xiaoqiao Kallurkar, Prajkta Balbon, Ana Patricia Secara, Maria T Taback, Adam Sabac, Denise Chan, Nicholas Ma, Shihao Wang, Bo Felsky, Daniel Ameis, Stephanie H Cox, Brian Hawco, Colin Erdman, Lauren Wheeler, Anne L Computation Machine Learning metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF is a multi-modal data integration algorithm commonly used for biomedical subtype discovery. The package also contains functions to assist with cluster visualization, characterization, and validation. This package can help researchers identify SNF-derived cluster solutions that are guided by context-specific utility over context-agnostic measures of quality. |
| title | metasnf: Meta Clustering with Similarity Network Fusion in R |
| topic | Computation Machine Learning |
| url | https://arxiv.org/abs/2410.17976 |