5 citations · 10 across the 3 of their papers we have counts for
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q-bio.GN2018★ 5 cited
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…
q-bio.GN2016★ 5 cited
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…