Prediction of functional microexons by transfer learning
Abstract Background Microexons are a particular kind of exon of less than 30 nucleotides in length. More than 60% of annotated human microexons were found to have high levels of sequence conservation, suggesting their potential functions. There is thus a need to develop a method for predicting funct...
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| Auteurs principaux: | , , , , , , , |
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| Format: | article |
| Langue: | EN |
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BMC
2021
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| Accès en ligne: | https://doaj.org/article/a41ebdf243e64952b53255a68065586c |
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