Robust, scalable, and informative clustering for diverse biological networks
Abstract Clustering molecular data into informative groups is a primary step in extracting robust conclusions from big data. However, due to foundational issues in how they are defined and detected, such clusters are not always reliable, leading to unstable conclusions. We compare popular clustering...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-10-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-023-03062-0 |