Search Results - "Gao, Changnan"

DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction by Chen, Wenqi, Wang, Shuang, Song, Tao, Li, Xue, Han, Peifu, Gao, Changnan

“…Abstract Background Protein-protein interaction (PPI) is very important for many biochemical processes. Therefore, accurate prediction of PPI can help us…”
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PETrans: De Novo Drug Design with Protein-Specific Encoding Based on Transfer Learning by Wang, Xun, Gao, Changnan, Han, Peifu, Li, Xue, Chen, Wenqi, Rodríguez Patón, Alfonso, Wang, Shuang, Zheng, Pan

“…Recent years have seen tremendous success in the design of novel drug molecules through deep generative models. Nevertheless, existing methods only generate…”
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MulCNN: An efficient and accurate deep learning method based on gene embedding for cell type identification in single-cell RNA-seq data by Jiao, Linfang, Ren, Yongqi, Wang, Lulu, Gao, Changnan, Wang, Shuang, Song, Tao

“…Advancements in single-cell sequencing research have revolutionized our understanding of cellular heterogeneity and functional diversity through the analysis…”
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Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis by Han, Peifu, Li, Xue, Wang, Xun, Wang, Shuang, Gao, Changnan, Chen, Wenqi

“…Biomedical named entity recognition is one of the important tasks of biomedical literature mining. With the development of natural language processing…”
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Minimize average tasks processing time in satellite mobile edge computing systems via a deep reinforcement learning method by Pang, Shanchen, Zheng, Jianyang, Wang, Min, Qiao, Sibo, He, Xiao, Gao, Changnan

“…Recently, the development of Low Earth Orbit (LEO) satellites and the advancement of the Mobile Edge Computing (MEC) paradigm have driven the emergence of the…”
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MARPPI: boosting prediction of protein–protein interactions with multi-scale architecture residual network by Li, Xue, Han, Peifu, Chen, Wenqi, Gao, Changnan, Wang, Shuang, Song, Tao, Niu, Muyuan, Rodriguez-Patón, Alfonso

“…Abstract Protein–protein interactions (PPIs) are a major component of the cellular biochemical reaction network. Rich sequence information and machine learning…”
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DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulation by Gao, Changnan, Bao, Wenjie, Wang, Shuang, Zheng, Jianyang, Wang, Lulu, Ren, Yongqi, Jiao, Linfang, Wang, Jianmin, Wang, Xun

“…Generative molecular models generate novel molecules with desired properties by searching chemical space. Traditional combinatorial optimization methods, such…”
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