Guohua Wang
Orcid: 0000-0001-7381-2374Affiliations:
- Northeast Forestry University, Harbin, China
- Harbin Institute of Technology, China (PhD 2009)
According to our database1,
Guohua Wang authored at least 104 papers
between 2007 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2026
Causality-Adjusted Data Augmentation for Domain Continual Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2026
CA-CAE: A deep learning-based multi-omics model for pan-cancer subtype classification and prognosis prediction.
PLoS Comput. Biol., 2026
PLATO: ProbabiListic hierArchical mulTi-head mOdel for plug-and-play ambiguous medical image segmentation.
Knowl. Based Syst., 2026
GFSeeker: a splicing-graph-based approach for accurate gene fusion detection from long-read RNA sequencing data.
Briefings Bioinform., 2026
2025
SLGCA: spatial cross-level graph contrastive autoencoder for multislice spatial domain identification and microenvironment exploration.
Briefings Bioinform., November, 2025
IEEE Trans. Fuzzy Syst., May, 2025
KansformerEPI: a deep learning framework integrating KAN and transformer for predicting enhancer-promoter interactions.
Briefings Bioinform., May, 2025
Enhancing LncRNA-miRNA interaction prediction with multimodal contrastive representation learning.
Briefings Bioinform., May, 2025
SVHunter: long-read-based structural variation detection through the transformer model.
Briefings Bioinform., May, 2025
Briefings Bioinform., March, 2025
VGAE-CCI: variational graph autoencoder-based construction of 3D spatial cell-cell communication network.
Briefings Bioinform., January, 2025
cfDiffusion: diffusion-based efficient generation of high quality scRNA-seq data with classifier-free guidance.
Briefings Bioinform., January, 2025
GAADE: identification spatially variable genes based on adaptive graph attention network.
Briefings Bioinform., January, 2025
Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy.
Briefings Bioinform., January, 2025
THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applications.
PLoS Comput. Biol., 2025
MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks.
PLoS Comput. Biol., 2025
Knowl. Based Syst., 2025
Drug repositioning by collaborative learning based on graph convolutional inductive network.
Future Gener. Comput. Syst., 2025
Multi-omics single-cell data alignment and integration with enhanced contrastive learning and differential attention mechanism.
Bioinform., 2025
PLiSAGE: enhancing protein-ligand interaction prediction with multimodal surface and geometry encoding.
Bioinform., 2025
KGCLMDA: a computational model for predicting latent associations of microbial drugs using knowledge graphs and contrastive learning.
Bioinform., 2025
Bioinform., 2025
Long Noncoding RNA function prediction via multiview cross-contrastive learning combined with multiscale semantic adaptive optimization.
Briefings Bioinform., 2025
Cross-RNA transferable sequence representation learning for lncRNA m6A site detection via novel deep domain separation networks.
Briefings Bioinform., 2025
Graph-based deep learning for integrating single-cell and bulk transcriptomic data to identify clinical cancer subtypes.
Briefings Bioinform., 2025
CKG-TPI: integrating collaborative knowledge graph with sequence interactions for TCR-peptide binding specificity.
Briefings Bioinform., 2025
TCRdesign: an antigen-specific generative language model for <i>de novo</i> design of T-cell receptors.
Briefings Bioinform., 2025
Cancer Drug Response Prediction Via Cross-Modal Multilevel Homogeneous and Heterogeneous Feature Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
IEEE J. Biomed. Health Informatics, November, 2024
Deep learning in template-free <i>de novo</i> biosynthetic pathway design of natural products.
Briefings Bioinform., November, 2024
DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer.
Briefings Bioinform., November, 2024
DeePhafier: a phage lifestyle classifier using a multilayer self-attention neural network combining protein information.
Briefings Bioinform., September, 2024
scLEGA: an attention-based deep clustering method with a tendency for low expression of genes on single-cell RNA-seq data.
Briefings Bioinform., September, 2024
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.
Briefings Bioinform., July, 2024
SVDF: enhancing structural variation detect from long-read sequencing via automatic filtering strategies.
Briefings Bioinform., July, 2024
Hierarchical multimodal self-attention-based graph neural network for DTI prediction.
Briefings Bioinform., July, 2024
CPPLS-MLP: a method for constructing cell-cell communication networks and identifying related highly variable genes based on single-cell sequencing and spatial transcriptomics data.
Briefings Bioinform., May, 2024
Briefings Bioinform., March, 2024
GTAD: a graph-based approach for cell spatial composition inference from integrated scRNA-seq and ST-seq data.
Briefings Bioinform., January, 2024
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation.
Medical Image Anal., 2024
TransGINmer: Identifying viral sequences from metagenomes with self-attention and Graph Isomorphism Network.
Future Gener. Comput. Syst., 2024
Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model.
Comput. Biol. Medicine, 2024
scDRMAE: integrating masked autoencoder with residual attention networks to leverage omics feature dependencies for accurate cell clustering.
Bioinform., 2024
Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structure.
Bioinform., 2024
Causal enhanced drug-target interaction prediction based on graph generation and multi-source information fusion.
Bioinform., 2024
scEAGC: an efficient anchor graph clustering for single-cell transcriptomics and proteomics data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding.
Comput. Biol. Medicine, December, 2023
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning.
Bioinform., December, 2023
Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling.
Nat. Mac. Intell., October, 2023
DeepICSH: a complex deep learning framework for identifying cell-specific silencers and their strength from the human genome.
Briefings Bioinform., September, 2023
ASAS-EGB: A statistical framework for estimating allele-specific alternative splicing events using transcriptome data.
Comput. Biol. Medicine, June, 2023
Identifying cancer driver genes using a two-stage random walk with restart on a gene interaction network.
Comput. Biol. Medicine, May, 2023
Briefings Bioinform., May, 2023
Briefings Bioinform., May, 2023
Genom. Proteom. Bioinform., April, 2023
Unsupervised construction of gene regulatory network based on single-cell multi-omics data of colorectal cancer.
Briefings Bioinform., March, 2023
MCANet: shared-weight-based MultiheadCrossAttention network for drug-target interaction prediction.
Briefings Bioinform., March, 2023
Feature selection combined with top-down and bottom-up strategies for survival analysis: A case of prognostic prediction in glioblastoma.
Comput. Biol. Medicine, February, 2023
Bioinform., January, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A Clustering Ensemble Method for Cell Type Detection by Multiobjective Particle Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
scWECTA: A weighted ensemble classification framework for cell type assignment based on single cell transcriptome.
Comput. Biol. Medicine, 2023
DeepITEH: a deep learning framework for identifying tissue-specific eRNAs from the human genome.
Bioinform., 2023
2022
StackCirRNAPred: computational classification of long circRNA from other lncRNA based on stacking strategy.
BMC Bioinform., December, 2022
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.
Nat. Mach. Intell., 2022
Comput. Biol. Medicine, 2022
Bioinform., 2022
Ensemble classification based feature selection: a case of identification on plant pentatricopeptide repeat proteins.
Briefings Bioinform., 2022
Ensemble classification based signature discovery for cancer diagnosis in RNA expression profiles across different platforms.
Briefings Bioinform., 2022
CRISPRCasStack: a stacking strategy-based ensemble learning framework for accurate identification of Cas proteins.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
scESI: evolutionary sparse imputation for single-cell transcriptomes from nearest neighbor cells.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Detection of transcription factors binding to methylated DNA by deep recurrent neural network.
Briefings Bioinform., 2022
2021
BMC Bioinform., December, 2021
ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition.
BMC Bioinform., 2021
BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method.
Bioinform., 2021
Evaluating disease similarity based on gene network reconstruction and representation.
Bioinform., 2021
Briefings Bioinform., 2021
CHTKC: a robust and efficient k-mer counting algorithm based on a lock-free chaining hash table.
Briefings Bioinform., 2021
A deep learning approach for filtering structural variants in short read sequencing data.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles.
BMC Bioinform., 2020
BYASE: a Python library for estimating gene and isoform level allele-specific expression.
Bioinform., 2020
AFS-DEA: An automatic feature selection platform for differential expression analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2018
Nucleic Acids Res., 2018
2017
Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility.
BMC Bioinform., 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy.
Bioinform., 2015
2014
Transcriptional regulation prediction of antiestrogen resistance in breast cancer based on RNA polymerase II binding data.
BMC Bioinform., 2014
2013
Int. J. Data Min. Bioinform., 2013
2011
A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer.
BMC Syst. Biol., 2011
2010
BMC Syst. Biol., 2010
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Nucleic Acids Res., 2009
2008
Model-based prediction of cis-acting RNA elements regulating tissue-specific alternative splicing.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2007
Refining Detection of RNA-Protein Binding Regions by Pyrosequencing of RNA Fragments.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
Identification of Transcription Factor and microRNA Binding Sites from Array-derived Gene Expression Data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007