An enhanced variant effect predictor based on a deep generative model and the Born-Again Networks

Abstract The development of an accurate and reliable variant effect prediction tool is important for research in human genetic diseases. A large number of predictors have been developed towards this goal, yet many of these predictors suffer from the problem of data circularity. Here we present MTBAN...

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Bibliographic Details
Main Authors: Ha Young Kim, Woosung Jeon, Dongsup Kim
Format: article
Language:EN
Published: Nature Portfolio 2021
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Q
Online Access:https://doaj.org/article/0732861a9c9b4e0a9f75b5da1897d2f6
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