Gongning Luo

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1 Article

Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network
Dong, W., Yang, Q., Wang, J., Xu, L., Li, X., Luo, G. & Gao, X., Apr 27 2023, In: Briefings in bioinformatics.
Research output: Contribution to journal › Article › peer-review

Data on Engineering Reported by Researchers at Harbin Institute of Technology (Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal In Intravascular Optical Coherence Tomography)
Gongning Luo
10/23/23
1 item of Media coverage
Press/Media: Press / Media
Heilongjiang University Reports Findings in Bioinformatics (Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network)
Xin Gao, Qiang Yang, Jian You Wang & Gongning Luo
05/9/23
1 item of Media coverage
Press/Media: Press / Media

Gongning Luo

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Collaborations and top research areas from the last five years

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Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network

Data on Engineering Reported by Researchers at Harbin Institute of Technology (Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal In Intravascular Optical Coherence Tomography)

Heilongjiang University Reports Findings in Bioinformatics (Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network)

Gongning Luo

Fingerprint

Collaborations and top research areas from the last five years

Research output

Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network

Press/Media

Data on Engineering Reported by Researchers at Harbin Institute of Technology (Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal In Intravascular Optical Coherence Tomography)

Heilongjiang University Reports Findings in Bioinformatics (Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network)