Clust: automatic extraction of optimal co-expressed gene clusters from gene expression data
Abstract Identifying co-expressed gene clusters can provide evidence for genetic or physical interactions. Thus, co-expression clustering is a routine step in large-scale analyses of gene expression data. We show that commonly used clustering methods produce results that substantially disagree and t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-10-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13059-018-1536-8 |