36 citations · 46 across the 4 of their papers we have counts for
4 papers
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen, Yu Li, Ramzan Umarov +2
In this paper, we propose an end-to-end deep learning model, called E2Efold, for RNA secondary structure prediction which can effectively take into account the inherent constraints…
PromID: human promoter prediction by deep learning
Ramzan Umarov, Hiroyuki Kuwahara, Yu Li +2
Computational identification of promoters is notoriously difficult as human genes often have unique promoter sequences that provide regulation of transcription and interaction with…
Prediction of Prokaryotic and Eukaryotic Promoters Using Convolutional Deep Learning Neural Networks
Victor Solovyev, Ramzan Umarov
Accurate computational identification of promoters remains a challenge as these key DNA regulatory regions have variable structures composed of functional motifs that provide gene…
FendOff encryption software to secure personal information on computers and mobile devices
Victor Solovyev, Ramzan Umarov
The paper describes several original cryptographic cipher modules (VSEM) that are based on using one time pseudorandom pad and pseudorandom transpositions. The VSEM includes 4 modu…