Xiaodan Fan

Orcid: 0000-0002-2744-9030

According to our database1, Xiaodan Fan authored at least 44 papers between 2003 and 2026.

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Bibliography

2026
Fast Gibbs Sampling on Bayesian Hidden Markov Model with Missing Observations.
CoRR, January, 2026

Iterative optimal transport for multimodal image registration.
Pattern Recognit., 2026

Interpretable integration of unpaired multi-omics for Alzheimer's diagnosis via cross-modal transformer reconstruction.
PLoS Comput. Biol., 2026

RoBep: a region-oriented deep learning model for B-cell epitope prediction.
Bioinform., 2026

2025
Cell lineage tracing: Methods, applications, and challenges.
Quant. Biol., 2025

Degrees of Freedom: Search Cost and Self-Consistency.
J. Comput. Graph. Stat., 2025

Monotone Cubic B-Splines with a Neural-Network Generator.
J. Comput. Graph. Stat., 2025

X-scPAE: An explainable deep learning model for embryonic lineage allocation prediction based on single-cell transcriptomics revealing key genes in embryonic cell development.
Comput. Biol. Medicine, 2025

Double optimal transport for differential gene regulatory network inference with unpaired samples.
Bioinform., 2025

RBPtool: A Deep Language Model Framework for Multi-Resolution RBP-RNA Binding Prediction and RNA Molecule Design.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
NetMIM: network-based multi-omics integration with block missingness for biomarker selection and disease outcome prediction.
Briefings Bioinform., September, 2024

2023
Automatic block-wise genotype-phenotype association detection based on hidden Markov model.
BMC Bioinform., December, 2023

A Bayesian approach to estimate MHC-peptide binding threshold.
Briefings Bioinform., July, 2023

Globally and symmetrically identified Bayesian multinomial probit model.
Stat. Comput., June, 2023

Bayesian detection of event spreading pattern from multivariate binary time series.
Commun. Stat. Simul. Comput., April, 2023

A Bayesian model for identifying cancer subtypes from paired methylation profiles.
Briefings Bioinform., January, 2023

Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Revealing Free Energy Landscape From MD Data via Conditional Angle Partition Tree.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
High-dimensional correlation matrix estimation for general continuous data with Bagging technique.
Mach. Learn., 2022

2021
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.
PLoS Comput. Biol., 2021

Correlation for tree-shaped datasets and its Bayesian estimation.
Comput. Stat. Data Anal., 2021

2020
Appearance-free Tripartite Matching for Multiple Object Tracking.
CoRR, 2020

The Spread of Information in Virtual Communities.
Complex., 2020

SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species.
Bioinform., 2020

MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model.
Bioinform., 2020

Can ODE gene regulatory models neglect time lag or measurement scaling?
Bioinform., 2020

miR+Pathway: the integration and visualization of miRNA and KEGG pathways.
Briefings Bioinform., 2020

2018
Guest Editorial for Special Section on the Sixth National Conference on Bioinformatics and System Biology of China.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017
A Bayesian Method for Joint Clustering of Vectorial Data and Network Data.
CoRR, 2017

BPP: a sequence-based algorithm for branch point prediction.
Bioinform., 2017

Detect differentially methylated regions using non-homogeneous hidden Markov model for methylation array data.
Bioinform., 2017

2016
Analysis of SNP Network Structure Based on Mutual Information of Breast Cancer Susceptibility Genes.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Variable selection and prediction of clinical outcome with multiply-imputed data via Bayesian model averaging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
A Resampling Based Clustering Algorithm for Replicated Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

2013
Improved short adjacent repeat identification using three evolutionary Monte Carlo schemes.
Int. J. Data Min. Bioinform., 2013

Development of Prediction Models under Multiple Imputation for Coronary Heart Disease in Type 2 Diabetes Mellitus.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
Short adjacent repeat identification based on Chemical Reaction Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
An MCMC algorithm for detecting short adjacent repeats shared by multiple sequences.
Bioinform., 2011

2010
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
CoRR, 2010

Bayesian Approach for Identifying Short Adjacent Repeats in Multiple Sequences.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

An Evolutionary Monte Carlo algorithm for identifying short adjacent repeats in multiple sequences.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

An automatic procedure to search highly repetitive sequences in genome as fluorescence in situ hybridization probes and its application on Brachypodium distachyon.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2007
Statistical power of phylo-HMM for evolutionarily conserved element detection.
BMC Bioinform., 2007

2003
Identifying splicing sites in eukaryotic RNA: support vector machine approach.
Comput. Biol. Medicine, 2003


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