Zutan Li
According to our database1,
Zutan Li
authored at least 6 papers
between 2021 and 2023.
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Bibliography
2023
NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways.
Bioinform., January, 2023
2022
Predicting the structure of unexplored novel fentanyl analogues by deep learning model.
Briefings Bioinform., 2022
PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites.
Briefings Bioinform., 2022
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.
Briefings Bioinform., 2022
2021
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.
PLoS Comput. Biol., 2021