Search Results for author: Ramzan Umarov

Found 2 papers, 1 papers with code

RNA Secondary Structure Prediction By Learning Unrolled Algorithms

1 code implementation ICLR 2020 Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song

The key idea of E2Efold is to directly predict the RNA base-pairing matrix, and use an unrolled algorithm for constrained programming as the template for deep architectures to enforce constraints.

PromID: human promoter prediction by deep learning

no code implementations2 Oct 2018 Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Xin Gao, Victor Solovyev

In this work we further develop our deep learning approach that was relatively successful to discriminate short promoter and non-promoter sequences.

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