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Yuedong Yang

Showing results (71-80 of 236) with videos related to

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Bioinformatics (Oxford, England)|June 23, 2018
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Journal of Chemical Information and Modeling|December 12, 2019
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural NetworksShuangjia Zheng, Jiahua Rao, Zhongyue Zhang, et al.
Bioinformatics (Oxford, England)|December 12, 2018
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Briefings in Bioinformatics|January 12, 2022
A robust and scalable graph neural network for accurate single-cell classificationYuansong Zeng, Zhuoyi Wei, Zixiang Pan, et al.
Briefings in Bioinformatics|October 24, 2022
Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learningQianmu Yuan, Sheng Chen, Yu Wang, et al.
Proteins|June 6, 2014
Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profilesZhixiu Li, Yuedong Yang, Eshel Faraggi, et al.
Carbohydrate Polymers|December 31, 2025
Starch-unsaturated fatty acid complexes with antioxidant protection and slow-digesting properties: Effects of complexing timeYiming Zhang, Changhui Shao, Jinglin Yu, et al.
Briefings in Bioinformatics|July 29, 2024
Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptationYuefan Lin, Zixiang Pan, Yuansong Zeng, et al.
Computers in Biology and Medicine|February 4, 2024
Predicting disease-gene associations through self-supervised mutual infomax graph convolution networkJiancong Xie, Jiahua Rao, Junjie Xie, et al.
RNA Biology|July 7, 2023
Characterizing RNA-binding ligands on structures, chemical information, binding affinity and drug-likenessCong Fan, Xin Wang, Tianze Ling, et al.
Pageof 24

Showing results (71-80 of 236) with videos related to

Sort By:
Pageof 24
Bioinformatics (Oxford, England)|June 23, 2018
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Journal of Chemical Information and Modeling|December 12, 2019
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural NetworksShuangjia Zheng, Jiahua Rao, Zhongyue Zhang, et al.
Bioinformatics (Oxford, England)|December 12, 2018
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Briefings in Bioinformatics|January 12, 2022
A robust and scalable graph neural network for accurate single-cell classificationYuansong Zeng, Zhuoyi Wei, Zixiang Pan, et al.
Briefings in Bioinformatics|October 24, 2022
Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learningQianmu Yuan, Sheng Chen, Yu Wang, et al.
Proteins|June 6, 2014
Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profilesZhixiu Li, Yuedong Yang, Eshel Faraggi, et al.
Carbohydrate Polymers|December 31, 2025
Starch-unsaturated fatty acid complexes with antioxidant protection and slow-digesting properties: Effects of complexing timeYiming Zhang, Changhui Shao, Jinglin Yu, et al.
Briefings in Bioinformatics|July 29, 2024
Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptationYuefan Lin, Zixiang Pan, Yuansong Zeng, et al.
Computers in Biology and Medicine|February 4, 2024
Predicting disease-gene associations through self-supervised mutual infomax graph convolution networkJiancong Xie, Jiahua Rao, Junjie Xie, et al.
RNA Biology|July 7, 2023
Characterizing RNA-binding ligands on structures, chemical information, binding affinity and drug-likenessCong Fan, Xin Wang, Tianze Ling, et al.
Pageof 24