Ramzan Umarov
Ramzan Umarov
Postdoctoral researcher, Hiroshima University
Verified email at hiroshima-u.ac.jp
Title
Cited by
Cited by
Year
DEEPre: sequence-based enzyme EC number prediction by deep learning
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao
Bioinformatics 34 (5), 760-769, 2018
952018
Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks
RK Umarov, VV Solovyev
PloS one 12 (2), e0171410, 2017
922017
TSSPlant: a new tool for prediction of plant Pol II promoters
IA Shahmuradov, RK Umarov, VV Solovyev
Nucleic acids research 45 (8), e65-e65, 2017
412017
Promoter analysis and prediction in the human genome using sequence-based deep learning models
R Umarov, H Kuwahara, Y Li, X Gao, V Solovyev
Bioinformatics 35 (16), 2730-2737, 2019
302019
Sequence2vec: a novel embedding approach for modeling transcription factor binding affinity landscape
H Dai, R Umarov, H Kuwahara, Y Li, L Song, X Gao
Bioinformatics 33 (22), 3575-3583, 2017
172017
Rna secondary structure prediction by learning unrolled algorithms
X Chen, Y Li, R Umarov, X Gao, L Song
arXiv preprint arXiv:2002.05810, 2020
82020
A deep learning framework to predict binding preference of RNA constituents on protein surface
JH Lam, Y Li, L Zhu, R Umarov, H Jiang, A Héliou, FK Sheong, T Liu, ...
Nature communications 10 (1), 1-13, 2019
82019
Prediction of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks
V Solovyev, R Umarov
arXiv preprint arXiv:1610.00121, 2016
62016
Promid: human promoter prediction by deep learning
R Umarov, H Kuwahara, Y Li, X Gao, V Solovyev
arXiv preprint arXiv:1810.01414, 2018
42018
SBOLme: a repository of SBOL parts for metabolic engineering
H Kuwahara, X Cui, R Umarov, R Grünberg, CJ Myers, X Gao
ACS synthetic biology 6 (4), 732-736, 2017
42017
ACRE: Absolute concentration robustness exploration in module-based combinatorial networks
H Kuwahara, R Umarov, I Almasri, X Gao
Synthetic Biology 2 (1), 2017
32017
Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics
S Maddirevula, H Kuwahara, N Ewida, HE Shamseldin, N Patel, ...
Genome biology 21 (1), 1-21, 2020
2020
Novel computational methods for promoter identification and analysis
R Umarov
2020
NNfold: RNA secondary structure prediction by deep learning
R Umarov, B Yuan, S Klein, G Ramos Mandujano
2020
FendOff encryption software to secure personal information on computers and mobile devices
V Solovyev, R Umarov
arXiv preprint arXiv:1511.00050, 2015
2015
Supplemental Material for Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape
H Dai, R Umarov, H Kuwahara, Y Li
Supplemental Materials for DEEPre: sequence-based enzyme EC number prediction by deep learning
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao
A new tool TSSPlant for prediction of plant Pol II promoters
IA Shahmuradov, RK Umarov, VV Solovyev
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