CFSP: a collaborative frequent sequence pattern discovery algorithm for nucleic acid sequence classification
Background Conserved nucleic acid sequences play an essential role in transcriptional regulation. The motifs/templates derived from nucleic acid sequence datasets are usually used as biomarkers to predict biochemical properties such as protein binding sites or to identify specific non-coding RNAs. I...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2020-04-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/8965.pdf |