Xuegong Zhang
Orcid: 0000-0002-9684-5643
According to our database1,
Xuegong Zhang
authored at least 96 papers
between 2000 and 2024.
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Bibliography
2024
scDecouple: decoupling cellular response from infected proportion bias in scCRISPR-seq.
Briefings Bioinform., January, 2024
NeoHunter: Flexible software for systematically detecting neoantigens from sequencing data.
Quant. Biol., 2024
HCCDB v2.0: Decompose Expression Variations by Single-cell RNA-seq and Spatial Transcriptomics in HCC.
Genom. Proteom. Bioinform., 2024
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models.
CoRR, 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity.
CoRR, 2024
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs.
CoRR, 2024
scDiffusion: conditional generation of high-quality single-cell data using diffusion model.
CoRR, 2024
MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation.
Biomed. Signal Process. Control., 2024
Proceedings of the Research in Computational Molecular Biology, 2024
2023
Quant. Biol., September, 2023
Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomics.
Briefings Bioinform., September, 2023
simCAS: an embedding-based method for simulating single-cell chromatin accessibility sequencing data.
Bioinform., August, 2023
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data.
ACM Trans. Intell. Syst. Technol., 2022
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding.
Nat. Mach. Intell., 2022
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images.
Medical Image Anal., 2022
Network traffic characteristics of hyperscale data centers in the era of cloud applications.
JOCN, 2022
DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.
Genom. Proteom. Bioinform., 2022
BMC Bioinform., 2022
Bioinform., 2022
ARIC: accurate and robust inference of cell type proportions from bulk gene expression or DNA methylation data.
Briefings Bioinform., 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Quant. Biol., 2021
OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions.
Nucleic Acids Res., 2021
Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction.
Genom. Proteom. Bioinform., 2021
CellTracker: an automated toolbox for single-cell segmentation and tracking of time-lapse microscopy images.
Bioinform., 2021
SOMDE: a scalable method for identifying spatially variable genes with self-organizing map.
Bioinform., 2021
stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics.
Bioinform., 2021
2020
An Experiment on <i>Ab Initio</i> Discovery of Biological Knowledge from scRNA-Seq Data Using Machine Learning.
Patterns, 2020
BMC Bioinform., 2020
2019
Quant. Biol., 2019
Quant. Biol., 2019
BMC Genom., 2019
Pixel-Level Clustering Reveals Intra-Tumor Heterogeneity in Non-Small Cell Lung Cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Comprehensive simulation of metagenomic sequencing data with non-uniform sampling distribution.
Quant. Biol., 2018
DEsingle for detecting three types of differential expression in single-cell RNA-seq data.
Bioinform., 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Quant. Biol., 2017
Proc. IEEE, 2017
2016
Quant. Biol., 2016
Quant. Biol., 2016
Quant. Biol., 2016
Quant. Biol., 2016
Nucleic Acids Res., 2016
Computational prediction of CRISPR cassettes in gut metagenome samples from Chinese type-2 diabetic patients and healthy controls.
BMC Syst. Biol., 2016
2015
dslice: an R package for nonparametric testing of associations with application in QTL and gene set analysis.
Bioinform., 2015
2014
Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation.
Quant. Biol., 2014
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
2013
Meeting report on RECOMB 2013 (the 17th Annual International Conference on Research in Computational Molecular Biology).
Quant. Biol., 2013
Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic.
PLoS Comput. Biol., 2013
Sci. China Inf. Sci., 2013
Network-based differential gene expression analysis suggests cell cycle related genes regulated by E2F1 underlie the molecular difference between smoker and non-smoker lung adenocarcinoma.
BMC Bioinform., 2013
NURD: an implementation of a new method to estimate isoform expression from non-uniform RNA-seq data.
BMC Bioinform., 2013
2012
Integrating gene expression and protein-protein interaction network to prioritize cancer-associated genes.
BMC Bioinform., 2012
2011
BMC Syst. Biol., 2011
Network-based group variable selection for detecting expression quantitative trait loci (eQTL).
BMC Bioinform., 2011
Using non-uniform read distribution models to improve isoform expression inference in RNA-Seq.
Bioinform., 2011
2010
DEGseq: an R package for identifying differentially expressed genes from RNA-seq data.
Bioinform., 2010
2009
A Comparative Study of Ensemble Learning Approaches in the Classification of Breast Cancer Metastasis.
Proceedings of the International Joint Conferences on Bioinformatics, 2009
2008
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers.
J. Mach. Learn. Res., 2008
Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
BMC Bioinform., 2007
Bioinform., 2007
Artif. Intell. Medicine, 2007
Pattern Recognition in Mining High-Throughput Genomics/Proteomics Data: The New Challenges in Old Questions.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007
2006
IEEE ACM Trans. Comput. Biol. Bioinform., 2006
Int. J. Wavelets Multiresolution Inf. Process., 2006
Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
BMC Bioinform., 2006
2005
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
BMC Bioinform., 2005
BMC Bioinform., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, 2004
Proceedings of the Advances in Neural Networks, 2004
Parallelization of Bayesian Network based SNPs Pattern Analysis and Performance Characterization on SMP/HT.
Proceedings of the 10th International Conference on Parallel and Distributed Systems, 2004
Discovering possible context dependences around SNP sites in human genes with Bayesian network learning.
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the 8th International Conference on Control, 2004
2002
2000
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000