Shengkun Ni
According to our database1,
Shengkun Ni
authored at least 3 papers
between 2023 and 2024.
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Bibliography
2024
miCGR: interpretable deep neural network for predicting both site-level and gene-level functional targets of microRNA.
Briefings Bioinform., 2024
TG468: a text graph convolutional network for predicting clinical response to immune checkpoint inhibitor therapy.
Briefings Bioinform., 2024
2023
Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation.
J. Cheminformatics, December, 2023