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MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model., , , и . Bioinform., 36 (2): 388-392 (2020)miR+Pathway: the integration and visualization of miRNA and KEGG pathways., , , , и . Briefings Bioinform., 21 (2): 699-708 (2020)LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs., , , , и . Database J. Biol. Databases Curation, (2018)Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture., , , , , и . Briefings Bioinform., (2022)MiRLoc: predicting miRNA subcellular localization by incorporating miRNA-mRNA interactions and mRNA subcellular localization., , , , , и . Briefings Bioinform., (2022)Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species., , , , , , , и . PLoS Comput. Biol., (2021)Promoter recognition based on the maximum entropy hidden Markov model., , , , , , и . Comput. Biol. Medicine, (2014)SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species., , , , , и . Bioinform., 36 (14): 4103-4105 (2020)PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites., , , и . Briefings Bioinform., (2022)Mining influential genes based on deep learning., , , , , , , и . BMC Bioinform., 22 (1): 27 (2021)