Ruiqing Zheng

Orcid: 0000-0001-6372-6798

According to our database¹, Ruiqing Zheng authored at least 31 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2023

Inferring single-cell gene regulatory network by non-redundant mutual information.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization.

[BibT_eX]

[DOI]

Bioinform., August, 2023

CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity.

[BibT_eX]

[DOI]

Bioinform., March, 2023

Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CellBRF: a feature selection method for single-cell clustering using cell balance and random forest.

[BibT_eX]

[DOI]

Bioinform., 2023

A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets.

[BibT_eX]

[DOI]

Xuhua Yan

Ruiqing Zheng

Min Li

Briefings Bioinform., 2022

KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

A single cell potency inference method based on the local cell-specific network entropy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

BayesImpute: a Bayesian imputation method for single-cell RNA-seq data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., 2021

NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Key residues influencing binding affinities of 2019-nCoV with ACE2 in different species.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

MKG: a mutual information based method to infer single cell gene regulatory network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

DeepCI: a deep learning based clustering method for single cell RNA-seq data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Network-based methods for predicting essential genes or proteins: a survey.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

A robust single cell clustering method based on subspace learning and partial imputation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

MGT-SM: A Method for Constructing Cellular Signal Transduction Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network.

[BibT_eX]

[DOI]

J. Comput. Biol., 2019

SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation.

[BibT_eX]

[DOI]

Bioinform., 2019

BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks.

[BibT_eX]

[DOI]

Bioinform., 2019

2018

PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey.

[BibT_eX]

[DOI]

Complex., 2017

Ruiqing Zheng

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