A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data.
Dynamic correlations are pervasive in high-throughput data. Large numbers of gene pairs can change their correlation patterns in response to observed/unobserved changes in physiological states. Finding changes in correlation patterns can reveal important regulatory mechanisms. Currently there is no...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-08-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC6095616?pdf=render |