Xiao-Fei Zhang

Orcid: 0000-0002-5052-9725

According to our database1, Xiao-Fei Zhang authored at least 44 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
EnDecon: cell type deconvolution of spatially resolved transcriptomics data via ensemble learning.
Bioinform., January, 2023

scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Cell-type annotation with accurate unseen cell-type identification using multiple references.
PLoS Comput. Biol., 2023

2022
Inferring Gene Co-Expression Networks by Incorporating Prior Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Identifying Gene Network Rewiring Based on Partial Correlation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization.
Bioinform., 2022

scDEA: differential expression analysis in single-cell RNA-sequencing data via ensemble learning.
Briefings Bioinform., 2022

2021
A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types.
IEEE Trans. Cybern., 2021

Time-Varying Differential Network Analysis for Revealing Network Rewiring over Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Differential network analysis by simultaneously considering changes in gene interactions and gene expression.
Bioinform., 2021

WDNE: an integrative graphical model for inferring differential networks from multi-platform gene expression data with missing values.
Briefings Bioinform., 2021

2020
Identifying Gene Network Rewiring Using Robust Differential Graphical Model with Multivariate $t$t-Distribution.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Sparse regularized low-rank tensor regression with applications in genomic data analysis.
Pattern Recognit., 2020

A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks.
Bioinform., 2020

Joint reconstruction of multiple gene networks by simultaneously capturing inter-tumor and intra-tumor heterogeneity.
Bioinform., 2020

scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation.
Bioinform., 2020

2019
Joint Learning of Multiple Differential Networks With Latent Variables.
IEEE Trans. Cybern., 2019

Inferring Gene Network Rewiring by Combining Gene Expression and Gene Mutation Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning.
Bioinform., 2019

DiffNetFDR: differential network analysis with false discovery rate control.
Bioinform., 2019

2018
Identifying Gene Network Rewiring by Integrating Gene Expression and Gene Network Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

DiffGraph: an R package for identifying gene network rewiring using differential graphical models.
Bioinform., 2018

2017
Localized modes of the (n+1)-dimensional Schrödinger equation with power-law nonlinearities in PT-symmetric potentials.
Commun. Nonlinear Sci. Numer. Simul., 2017

Node-based differential network analysis in genomics.
Comput. Biol. Chem., 2017

A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
BMC Bioinform., 2017

Incorporating prior information into differential network analysis using non-paranormal graphical models.
Bioinform., 2017

2016
Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks.
BMC Bioinform., 2016

Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.
BMC Bioinform., 2016

Protein complex detection based on partially shared multi-view clustering.
BMC Bioinform., 2016

A two-layer integration framework for protein complex detection.
BMC Bioinform., 2016

Identifying protein complexes via multi-network clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Detecting Protein Complexes from Signed Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Determining minimum set of driver nodes in protein-protein interaction networks.
BMC Bioinform., 2015

2014
Multi-model adaptive control based on fuzzy neural networks.
J. Intell. Fuzzy Syst., 2014

Detecting overlapping protein complexes based on a generative model with functional and topological properties.
BMC Bioinform., 2014

Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform., 2014

2013
Structured Sparse Error Coding for Face Recognition With Occlusion.
IEEE Trans. Image Process., 2013

Identifying Spurious Interactions and Predicting Missing Interactions in the Protein-Protein Interaction Networks via a Generative Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012
Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A Framework for Incorporating Functional Interrelationships into Protein Function Prediction Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011
Face recognition with continuous occlusion using partially iteratively reweighted sparse coding.
Proceedings of the First Asian Conference on Pattern Recognition, 2011


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