Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964227364> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2964227364 abstract "Designing RNA molecules has garnered recent interest in medicine, synthetic biology, biotechnology and bioinformatics since many functional RNA molecules were shown to be involved in regulatory processes for transcription, epigenetics and translation. Since an RNA's function depends on its structural properties, the RNA Design problem is to find an RNA sequence which satisfies given structural constraints. Here, we propose a new algorithm for the RNA Design problem, dubbed LEARNA. LEARNA uses deep reinforcement learning to train a policy network to sequentially design an entire RNA sequence given a specified target structure. By meta-learning across 65000 different RNA Design tasks for one hour on 20 CPU cores, our extension Meta-LEARNA constructs an RNA Design policy that can be applied out of the box to solve novel RNA Design tasks. Methodologically, for what we believe to be the first time, we jointly optimize over a rich space of architectures for the policy network, the hyperparameters of the training procedure and the formulation of the decision process. Comprehensive empirical results on two widely-used RNA Design benchmarks, as well as a third one that we introduce, show that our approach achieves new state-of-the-art performance on the former while also being orders of magnitudes faster in reaching the previous state-of-the-art performance. In an ablation study, we analyze the importance of our method's different components." @default.
- W2964227364 created "2019-07-30" @default.
- W2964227364 creator A5031002895 @default.
- W2964227364 creator A5039793317 @default.
- W2964227364 creator A5071025551 @default.
- W2964227364 creator A5089220005 @default.
- W2964227364 date "2018-09-27" @default.
- W2964227364 modified "2023-09-27" @default.
- W2964227364 title "Learning to Design RNA." @default.
- W2964227364 hasPublicationYear "2018" @default.
- W2964227364 type Work @default.
- W2964227364 sameAs 2964227364 @default.
- W2964227364 citedByCount "13" @default.
- W2964227364 countsByYear W29642273642019 @default.
- W2964227364 countsByYear W29642273642020 @default.
- W2964227364 countsByYear W29642273642021 @default.
- W2964227364 crossrefType "proceedings-article" @default.
- W2964227364 hasAuthorship W2964227364A5031002895 @default.
- W2964227364 hasAuthorship W2964227364A5039793317 @default.
- W2964227364 hasAuthorship W2964227364A5071025551 @default.
- W2964227364 hasAuthorship W2964227364A5089220005 @default.
- W2964227364 hasConcept C104317684 @default.
- W2964227364 hasConcept C138885662 @default.
- W2964227364 hasConcept C154945302 @default.
- W2964227364 hasConcept C179926584 @default.
- W2964227364 hasConcept C41008148 @default.
- W2964227364 hasConcept C41895202 @default.
- W2964227364 hasConcept C54355233 @default.
- W2964227364 hasConcept C67705224 @default.
- W2964227364 hasConcept C70721500 @default.
- W2964227364 hasConcept C80444323 @default.
- W2964227364 hasConcept C86803240 @default.
- W2964227364 hasConceptScore W2964227364C104317684 @default.
- W2964227364 hasConceptScore W2964227364C138885662 @default.
- W2964227364 hasConceptScore W2964227364C154945302 @default.
- W2964227364 hasConceptScore W2964227364C179926584 @default.
- W2964227364 hasConceptScore W2964227364C41008148 @default.
- W2964227364 hasConceptScore W2964227364C41895202 @default.
- W2964227364 hasConceptScore W2964227364C54355233 @default.
- W2964227364 hasConceptScore W2964227364C67705224 @default.
- W2964227364 hasConceptScore W2964227364C70721500 @default.
- W2964227364 hasConceptScore W2964227364C80444323 @default.
- W2964227364 hasConceptScore W2964227364C86803240 @default.
- W2964227364 hasLocation W29642273641 @default.
- W2964227364 hasOpenAccess W2964227364 @default.
- W2964227364 hasPrimaryLocation W29642273641 @default.
- W2964227364 hasRelatedWork W1587352276 @default.
- W2964227364 hasRelatedWork W2092300972 @default.
- W2964227364 hasRelatedWork W2101636591 @default.
- W2964227364 hasRelatedWork W2111935653 @default.
- W2964227364 hasRelatedWork W2112407533 @default.
- W2964227364 hasRelatedWork W2131241448 @default.
- W2964227364 hasRelatedWork W2194985241 @default.
- W2964227364 hasRelatedWork W2291718609 @default.
- W2964227364 hasRelatedWork W2593744649 @default.
- W2964227364 hasRelatedWork W2762658917 @default.
- W2964227364 hasRelatedWork W2962746461 @default.
- W2964227364 hasRelatedWork W2963374479 @default.
- W2964227364 hasRelatedWork W2963423218 @default.
- W2964227364 hasRelatedWork W2963815651 @default.
- W2964227364 hasRelatedWork W2964121744 @default.
- W2964227364 hasRelatedWork W2964259004 @default.
- W2964227364 hasRelatedWork W2964331719 @default.
- W2964227364 hasRelatedWork W2966219497 @default.
- W2964227364 hasRelatedWork W3134496407 @default.
- W2964227364 hasRelatedWork W3212911837 @default.
- W2964227364 isParatext "false" @default.
- W2964227364 isRetracted "false" @default.
- W2964227364 magId "2964227364" @default.
- W2964227364 workType "article" @default.