Guohua Wang

Orcid: 0000-0001-7381-2374

Affiliations:
  • Northeast Forestry University, Harbin, Helongjiang, China


According to our database1, Guohua Wang authored at least 75 papers between 2007 and 2025.

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Bibliography

2025
Adjacency-Aware Fuzzy Label Learning for Skin Disease Diagnosis.
IEEE Trans. Fuzzy Syst., May, 2025

Fine-grained multimodal molecular pretraining via prompt learning.
Knowl. Based Syst., 2025

Drug repositioning by collaborative learning based on graph convolutional inductive network.
Future Gener. Comput. Syst., 2025

Enhancing LncRNA-miRNA interaction prediction with multimodal contrastive representation learning.
Briefings Bioinform., 2025

SVHunter: long-read-based structural variation detection through the transformer model.
Briefings Bioinform., 2025

Relational similarity-based graph contrastive learning for DTI prediction.
Briefings Bioinform., 2025

2024
Automatically Detecting Anchor Cells and Clustering for scRNA-Seq Data Using scTSNN.
IEEE J. Biomed. Health Informatics, November, 2024

VirGrapher: a graph-based viral identifier for long sequences from metagenomes.
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

VGAE-CCI: variational graph autoencoder-based construction of 3D spatial cell-cell communication network.
Briefings Bioinform., 2024

cfDiffusion: diffusion-based efficient generation of high quality scRNA-seq data with classifier-free guidance.
Briefings Bioinform., 2024

GTAD: a graph-based approach for cell spatial composition inference from integrated scRNA-seq and ST-seq data.
Briefings Bioinform., 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., 2024

GAADE: identification spatially variable genes based on adaptive graph attention network.
Briefings Bioinform., 2024

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.
Briefings Bioinform., 2024

Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy.
Briefings Bioinform., 2024

Deep learning in template-free <i>de novo</i> biosynthetic pathway design of natural products.
Briefings Bioinform., 2024

DeePhafier: a phage lifestyle classifier using a multilayer self-attention neural network combining protein information.
Briefings Bioinform., 2024

DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer.
Briefings Bioinform., 2024

scLEGA: an attention-based deep clustering method with a tendency for low expression of genes on single-cell RNA-seq data.
Briefings Bioinform., 2024

SVDF: enhancing structural variation detect from long-read sequencing via automatic filtering strategies.
Briefings Bioinform., 2024

Hierarchical multimodal self-attention-based graph neural network for DTI prediction.
Briefings Bioinform., 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

miProBERT: identification of microRNA promoters based on the pre-trained model BERT.
Briefings Bioinform., May, 2023

End-to-end interpretable disease-gene association prediction.
Briefings Bioinform., May, 2023

PlantCADB: A Comprehensive Plant Chromatin Accessibility Database.
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

CanMethdb: a database for genome-wide DNA methylation annotation in cancers.
Bioinform., January, 2023

MicroRNA Promoter Identification in Human With a Three-level Prediction Method.
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

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

IOFS-SA: An interactive online feature selection tool for survival analysis.
Comput. Biol. Medicine, 2022

Supervised graph co-contrastive learning for drug-target interaction prediction.
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

Complex genome assembly based on long-read sequencing.
Briefings Bioinform., 2022

CRISPRCasStack: a stacking strategy-based ensemble learning framework for accurate identification of Cas proteins.
Briefings Bioinform., 2022

A survey on computational methods in discovering protein inhibitors of SARS-CoV-2.
Briefings Bioinform., 2022

scESI: evolutionary sparse imputation for single-cell transcriptomes from nearest neighbor cells.
Briefings Bioinform., 2022

Drug-target interaction predication via multi-channel graph neural networks.
Briefings Bioinform., 2022

Detection of transcription factors binding to methylated DNA by deep recurrent neural network.
Briefings Bioinform., 2022

2021
Correction to: Efficient iterative Hi-C scaffolder based on N-best neighbors.
BMC Bioinform., December, 2021

ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition.
BMC Bioinform., 2021

Efficient iterative Hi-C scaffolder based on N-best neighbors.
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

The stacking strategy-based hybrid framework for identifying non-coding RNAs.
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

AlignGraph2: similar genome-assisted reassembly pipeline for PacBio long reads.
Briefings Bioinform., 2021

2020
ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles.
BMC Bioinform., 2020

Evaluating individual genome similarity with a topic model.
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
MeDReaders: a database for transcription factors that bind to methylated DNA.
Nucleic Acids Res., 2018

2017
Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility.
BMC Bioinform., 2017

2016
Preface.
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

2011
A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer.
BMC Syst. Biol., 2011

2010
Prioritization of disease microRNAs through a human phenome-microRNAome network.
BMC Syst. Biol., 2010

2009
miR2Disease: a manually curated database for microRNA deregulation in human disease.
Nucleic Acids Res., 2009

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


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