Bin Liu
Orcid: 0000-0002-8520-8374Affiliations:
- Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Harbin Institute of Technology, Shenzhen Graduate School, School of Computer Science and Technology, China (2012 - 2019)
- Ohio State University, Columbus, OH, USA (2010 - 2012)
- Harbin Institute of Technology, China (PhD 2010)
According to our database1,
Bin Liu
authored at least 84 papers
between 2008 and 2023.
Collaborative distances:
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Bibliography
2023
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks.
Briefings Bioinform., July, 2023
TransDFL: Identification of Disordered Flexible Linkers in Proteins by Transfer Learning.
Genom. Proteom. Bioinform., April, 2023
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure.
Bioinform., January, 2023
LncRNA-disease association identification using graph auto-encoder and learning to rank.
Briefings Bioinform., January, 2023
iSnoDi-MDRF: Identifying snoRNA-Disease Associations Based on Multiple Biological Data by Ranking Framework.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
iPiDA-SWGCN: Identification of piRNA-disease associations based on Supplementarily Weighted Graph Convolutional Network.
PLoS Comput. Biol., 2023
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction.
Bioinform., 2023
2022
iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network.
PLoS Comput. Biol., October, 2022
IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
ProtRe-CN: Protein Remote Homology Detection by Combining Classification Methods and Network Methods via Learning to Rank.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
SelfAT-Fold: Protein Fold Recognition Based on Residue-Based and Motif-Based Self-Attention Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Comput. Biol. Medicine, 2022
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning.
Comput. Biol. Medicine, 2022
iDRBP-ECHF: Identifying DNA- and RNA-binding proteins based on extensible cubic hybrid framework.
Comput. Biol. Medicine, 2022
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning.
Bioinform., 2022
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model.
Bioinform., 2022
DeepIDP-2L: protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention network.
Bioinform., 2022
Briefings Bioinform., 2022
iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework.
Briefings Bioinform., 2022
PHR-search: a search framework for protein remote homology detection based on the predicted protein hierarchical relationships.
Briefings Bioinform., 2022
Correction to: PHR-search: a search framework for protein remote homology detection based on the predicted protein hierarchical relationships.
Briefings Bioinform., 2022
2021
DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Neurocomputing, 2021
iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank.
Bioinform., 2021
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection.
Bioinform., 2021
S2L-PSIBLAST: a supervised two-layer search framework based on PSI-BLAST for protein remote homology detection.
Bioinform., 2021
NCBRPred: predicting nucleic acid binding residues in proteins based on multilabel learning.
Briefings Bioinform., 2021
idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation.
Briefings Bioinform., 2021
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning.
Briefings Bioinform., 2021
FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples.
Comput. Biol. Chem., 2020
A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks.
Briefings Bioinform., 2020
iCircDA-MF: identification of circRNA-disease associations based on matrix factorization.
Briefings Bioinform., 2020
Briefings Bioinform., 2020
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks.
Briefings Bioinform., 2020
HITS-PR-HHblits: protein remote homology detection by combining PageRank and Hyperlink-Induced Topic Search.
Briefings Bioinform., 2020
2019
ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Protein Remote Homology Detection and Fold Recognition Based on Sequence-Order Frequency Matrix.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region prediction.
Briefings Bioinform., 2019
BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches.
Briefings Bioinform., 2019
ProtDec-LTR3.0: Protein Remote Homology Detection by Incorporating Profile-Based Features Into Learning to Rank.
IEEE Access, 2019
iRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning.
IEEE Access, 2019
iEsGene-ZCPseKNC: Identify Essential Genes Based on Z Curve Pseudo $k$ -Tuple Nucleotide Composition.
IEEE Access, 2019
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
2018
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.
Bioinform., 2018
Bioinform., 2018
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach.
Bioinform., 2018
A comprehensive review and comparison of different computational methods for protein remote homology detection.
Briefings Bioinform., 2018
2017
BMC Bioinform., 2017
Bioinform., 2017
ProtDec-LTR2.0: an improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank.
Bioinform., 2017
Artif. Intell. Medicine, 2017
SOFM-Top: Protein Remote Homology Detection and Fold Recognition Based on Sequence-Order Frequency Matrix.
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
iEnhancer-PsedeKNC: Identification of enhancers and their subgroups based on Pseudo degenerate kmer nucleotide composition.
Neurocomputing, 2016
iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework.
Bioinform., 2016
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo <i>k</i>-tuple nucleotide composition.
Bioinform., 2016
2015
Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences.
Nucleic Acids Res., 2015
Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification.
Cogn. Comput., 2015
repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects.
Bioinform., 2015
Bioinform., 2015
2014
Using distances between Top-n-gram and residue pairs for protein remote homology detection.
BMC Bioinform., 2014
Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection.
Bioinform., 2014
Proceedings of the Natural Language Processing and Chinese Computing, 2014
Financial named entity recognition based on conditional random fields and information entropy.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014
Proceedings of the Machine Learning and Cybernetics, 2014
Credibility Estimation of Stock Comments Based on Publisher and Information Uncertainty Evaluation.
Proceedings of the Machine Learning and Cybernetics, 2014
Reader Emotion Prediction Using Concept and Concept Sequence Features in News Headlines.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2011
Protein Remote Homology Detection and Fold Recognition based on Features Extracted from Frequency Profiles.
J. Comput., 2011
2009
Comput. Biol. Chem., 2009
Prediction of protein binding sites in protein structures using hidden Markov support vector machine.
BMC Bioinform., 2009
Proceedings of the International Joint Conferences on Bioinformatics, 2009
Protein Long Disordered Region Prediction Based on Profile-Level Disorder Propensities and Position-Specific Scoring Matrixes.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
2008
A discriminative method for protein remote homology detection and fold recognition combining Top-<i>n</i>-grams and latent semantic analysis.
BMC Bioinform., 2008
A Discriminative Method for Protein Remote Homology Detection Based on N-nary Profiles.
Proceedings of the Bioinformatics Research and Development, 2008