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pro vyhledávání: '"Onokpasa, Evarista"'
In past work (Onokpasa, Wild, Wong, DCC 2023), we showed that (a) for joint compression of RNA sequence and structure, stochastic context-free grammars are the best known compressors and (b) that grammars which have better compression ability also sh
Externí odkaz:
http://arxiv.org/abs/2401.16623
In this paper, we use the biological domain knowledge incorporated into stochastic models for ab initio RNA secondary-structure prediction to improve the state of the art in joint compression of RNA sequence and structure data (Liu et al., BMC Bioinf
Externí odkaz:
http://arxiv.org/abs/2302.11669