FendOff encryption software to secure personal information on computers and mobile devices. - Victor V. Solovyev; Ramzan Umarov (CoRR, 2015)

Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape. - Hanjun Dai; Ramzan Umarov; Hiroyuki Kuwahara; Yu Li 006; Le Song; Xin Gao 001 (Bioinform., 2017)

DEEPre: sequence-based enzyme EC number prediction by deep learning. - Yu Li 006; Sheng Wang 001; Ramzan Umarov; Bingqing Xie; Ming Fan 003; Lihua Li 002; Xin Gao 001 (Bioinform., 2018)

PromID: human promoter prediction by deep learning. - Ramzan Umarov; Hiroyuki Kuwahara; Yu Li 006; Xin Gao 001; Victor V. Solovyev (CoRR, 2018)

Promoter analysis and prediction in the human genome using sequence-based deep learning models. - Ramzan Umarov; Hiroyuki Kuwahara; Yu Li 006; Xin Gao 001; Victor V. Solovyev (Bioinform., 2019)

RNA Secondary Structure Prediction By Learning Unrolled Algorithms. - Xinshi Chen; Yu Li 006; Ramzan Umarov; Xin Gao 001; Le Song (ICLR, 2020)

DeepCellState: An autoencoder-based framework for predicting cell type specific transcriptional states induced by drug treatment. - Ramzan Umarov; Yu Li 006; Erik Arner (PLoS Comput. Biol., 2021)

ReFeaFi: Genome-wide prediction of regulatory elements driving transcription initiation. - Ramzan Umarov; Yu Li 006; Takahiro Arakawa; Satoshi Takizawa; Xin Gao 001; Erik Arner (PLoS Comput. Biol., 2021)