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Haisong Feng

Showing results (1-10 of 35) with videos related to

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Nature Materials|March 2, 2026
Stability in the dilute limitHaisong Feng, Xin Zhang, Min Wei
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
MDSGCN: Predicting Multiple Types of Mutation-Drug Association Through Signed Graph Convolution NetworkHaisong Feng, Xiaosong Wang, Fan Lin
Plos One|May 14, 2026
In-silico identification and optimization of MMP-9 inhibitors for cerebral ischemia using structure based virtual screening, MD simulation, and binding free energy calculationsJian Zhang, Beibei Zhang, Haisong Feng, et al.
Computers in Biology and Medicine|March 27, 2025
SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug associationXiaosong Wang, Haisong Feng, Yilei Zhang, et al.
Biomolecules & Biomedicine|February 5, 2026
Prediabetes and cataract risk in adults: A systematic review and meta-analysisLinping Xue, Haisong Feng, Beibei Zhang, et al.
BMC Bioinformatics|July 12, 2022
MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural networkHaisong Feng, Ying Xiang, Xiaosong Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|February 22, 2022
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA SequencesYujia Gao, Yiqiong Chen, Haisong Feng, et al.
The Journal of Physical Chemistry Letters|April 21, 2025
Fast-Track to Catalyst Stability: Machine Learning Optimized Predictions for M1/M2-N<sub>6</sub>-Gra CatalystsPengxin Pu, Xin Song, Hu Ding, et al.
Fitoterapia|August 1, 2024
Explore the mechanisms of triterpenoids from Ganoderma lucidum in the protection against Alzheimer's disease via microbiota-gut-brain axis with the aid of network pharmacologyWanping Shen, Jiming Wu, Liyan Shi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 28, 2022
GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional NetworkHaoyuan Shi, Haisong Feng, Zhenxiao Lu, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Nature Materials|March 2, 2026
Stability in the dilute limitHaisong Feng, Xin Zhang, Min Wei
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
MDSGCN: Predicting Multiple Types of Mutation-Drug Association Through Signed Graph Convolution NetworkHaisong Feng, Xiaosong Wang, Fan Lin
Plos One|May 14, 2026
In-silico identification and optimization of MMP-9 inhibitors for cerebral ischemia using structure based virtual screening, MD simulation, and binding free energy calculationsJian Zhang, Beibei Zhang, Haisong Feng, et al.
Computers in Biology and Medicine|March 27, 2025
SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug associationXiaosong Wang, Haisong Feng, Yilei Zhang, et al.
Biomolecules & Biomedicine|February 5, 2026
Prediabetes and cataract risk in adults: A systematic review and meta-analysisLinping Xue, Haisong Feng, Beibei Zhang, et al.
BMC Bioinformatics|July 12, 2022
MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural networkHaisong Feng, Ying Xiang, Xiaosong Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|February 22, 2022
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA SequencesYujia Gao, Yiqiong Chen, Haisong Feng, et al.
The Journal of Physical Chemistry Letters|April 21, 2025
Fast-Track to Catalyst Stability: Machine Learning Optimized Predictions for M1/M2-N<sub>6</sub>-Gra CatalystsPengxin Pu, Xin Song, Hu Ding, et al.
Fitoterapia|August 1, 2024
Explore the mechanisms of triterpenoids from Ganoderma lucidum in the protection against Alzheimer's disease via microbiota-gut-brain axis with the aid of network pharmacologyWanping Shen, Jiming Wu, Liyan Shi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 28, 2022
GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional NetworkHaoyuan Shi, Haisong Feng, Zhenxiao Lu, et al.
Pageof 4