Yanbin Yin
Orcid: 0000-0001-7667-881X
According to our database1,
Yanbin Yin
authored at least 35 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework.
Bioinform., March, 2024
2023
Expert Syst. Appl., December, 2023
Nucleic Acids Res., July, 2023
Nucleic Acids Res., January, 2023
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks.
CoRR, 2023
Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
HDMC: a novel deep learning-based framework for removing batch effects in single-cell RNA-seq data.
Bioinform., 2022
MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
LR-GNN: a graph neural network based on link representation for predicting molecular associations.
Briefings Bioinform., 2022
Mutual Information Estimation-Based Disentangled Representation Network for Medical Image Fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Nucleic Acids Res., 2021
dbCAN-PUL: a database of experimentally characterized CAZyme gene clusters and their substrates.
Nucleic Acids Res., 2021
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations.
BMC Bioinform., 2021
Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human Cancers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Nucleic Acids Res., 2020
Bioinform., 2020
Bioinform., 2020
Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
BMC Bioinform., 2019
Genetic Algorithm Based Optimization Method of Single Frequency Network Planning for DTMB.
Proceedings of the 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2019
2018
Nucleic Acids Res., 2018
dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation.
Nucleic Acids Res., 2018
2016
Symmetry analysis and reductions of the two-dimensional generalized Benney system via geometric approach.
Comput. Math. Appl., 2016
Bioinform., 2016
2014
Database J. Biol. Databases Curation, 2014
2013
An integrated toolkit for accurate prediction and analysis of <i>cis-</i>regulatory motifs at a genome scale.
Bioinform., 2013
2012
Nucleic Acids Res., 2012
2011
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011
2010
2005
2004
Proceedings of the Grid and Cooperative Computing, 2004