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2020 – today
- 2023
[j23]Yetian Fan
, April S. Chan, Jun Zhu, Suet Yi Leung, Xiaodan Fan:
A Bayesian model for identifying cancer subtypes from paired methylation profiles. Briefings Bioinform. 24(1) (2023)- [j22]Ran Liu, Ye-Fan Hu, Jian-Dong Huang, Xiaodan Fan:
A Bayesian approach to estimate MHC-peptide binding threshold. Briefings Bioinform. 24(4) (2023) - [j21]Jin Du, Chaojie Wang, Lijun Wang, Shanjun Mao, Bencong Zhu, Zheng Li, Xiaodan Fan:
Automatic block-wise genotype-phenotype association detection based on hidden Markov model. BMC Bioinform. 24(1): 138 (2023) - [j20]Jie Hu, Zirui Chen, Wenwei Lin, Xiaodan Fan:
Bayesian detection of event spreading pattern from multivariate binary time series. Commun. Stat. Simul. Comput. 52(4): 1225-1244 (2023) - [j19]Maolin Pan, Minggao Gu, Xianyi Wu, Xiaodan Fan:
Globally and symmetrically identified Bayesian multinomial probit model. Stat. Comput. 33(3): 68 (2023) - [j18]Hangjin Jiang, Han Li, Wing Hung Wong, Xiaodan Fan:
Revealing Free Energy Landscape From MD Data via Conditional Angle Partition Tree. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1384-1394 (2023) - [j17]Ran Liu, Ye-Fan Hu, Jin Du, Bao-Zhong Zhang, Thomas Yau, Xiaodan Fan, Jian-Dong Huang:
Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3669-3680 (2023) - 2022
- [j16]Chaojie Wang, Jin Du, Xiaodan Fan:
High-dimensional correlation matrix estimation for general continuous data with Bagging technique. Mach. Learn. 111(8): 2905-2927 (2022) - 2021
- [j15]Shanjun Mao, Xiaodan Fan, Jie Hu:
Correlation for tree-shaped datasets and its Bayesian estimation. Comput. Stat. Data Anal. 164: 107307 (2021) - [j14]Zutan Li, Hangjin Jiang, Lingpeng Kong, Yuanyuan Chen, Kun Lang, Xiaodan Fan, Liangyun Zhang, Cong Pian:
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j13]Cong Pian, Guang-Le Zhang, Libin Gao, Xiaodan Fan, Fei Li:
miR+Pathway: the integration and visualization of miRNA and KEGG pathways. Briefings Bioinform. 21(2): 699-708 (2020) - [j12]Cong Pian, Guang-Le Zhang, Fei Li, Xiaodan Fan:
MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model. Bioinform. 36(2): 388-392 (2020) - [j11]Jie Hu, Huihui Qin, Xiaodan Fan:
Can ODE gene regulatory models neglect time lag or measurement scaling? Bioinform. 36(13): 4058-4064 (2020) - [j10]Jiali Yang, Kun Lang, Guang-Le Zhang, Xiaodan Fan, Yuanyuan Chen, Cong Pian:
SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species. Bioinform. 36(14): 4103-4105 (2020) - [j9]Zhen Zhang, Jin Du, Qingchun Meng, Xiaoxia Rong, Xiaodan Fan:
The Spread of Information in Virtual Communities. Complex. 2020: 6629318:1-6629318:15 (2020) - [i3]Lijun Wang, Yanting Zhu, Jue Shi, Xiaodan Fan:
Appearance-free Tripartite Matching for Multiple Object Tracking. CoRR abs/2008.03628 (2020)
2010 – 2019
- 2018
- [j8]Xiaodan Fan, Xinglai Ji, Rui Jiang:
Guest Editorial for Special Section on the Sixth National Conference on Bioinformatics and System Biology of China. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1092 (2018) - 2017
- [j7]Qing Zhang, Xiaodan Fan, Yejun Wang, Ming-an Sun, Jianlin Shao, Dianjing Guo:
BPP: a sequence-based algorithm for branch point prediction. Bioinform. 33(20): 3166-3172 (2017) - [j6]Linghao Shen, Jun Zhu, Shuo-Yen Robert Li, Xiaodan Fan:
Detect differentially methylated regions using non-homogeneous hidden Markov model for methylation array data. Bioinform. 33(23): 3701-3708 (2017) - [i2]Yunchuan Kong, Xiaodan Fan:
A Bayesian Method for Joint Clustering of Vectorial Data and Network Data. CoRR abs/1710.08846 (2017) - 2016
- [c7]Guozhi Jiang, Claudia H. Tam, Andrea O. Y. Luk, Alice P. S. Kong, Wing-Yee So, Juliana C. N. Chan, Ronald C. W. Ma, Xiaodan Fan:
Variable selection and prediction of clinical outcome with multiply-imputed data via Bayesian model averaging. BIBM 2016: 727-730 - [c6]Shudong Wang, Shanqiang Zhang, Shanshan Li, Xinzeng Wang, Sicheng He, Yan Zhao, Xiaodan Fan, Fayou Yuan, Xinjie Zhu, Yun Jiang:
Analysis of SNP Network Structure Based on Mutual Information of Breast Cancer Susceptibility Genes. BIC-TA (2) 2016: 420-430 - 2015
- [j5]Han Li, Chun Li, Jie Hu, Xiaodan Fan:
A Resampling Based Clustering Algorithm for Replicated Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1295-1303 (2015) - 2013
- [j4]Jin Xu, Qiwei Li, Victor O. K. Li, Shuo-Yen Robert Li, Xiaodan Fan:
Improved short adjacent repeat identification using three evolutionary Monte Carlo schemes. Int. J. Data Min. Bioinform. 8(4): 462-479 (2013) - [c5]Guozhi Jiang, Eric S. Lau, Ying Wang, Andrea O. Y. Luk, Claudia H. Tam, Janice S. Ho, Vincent K. Lam, Heung M. Lee, Xiaodan Fan, Wing-Yee So, Juliana C. Chan, Ronald C. Ma:
Development of Prediction Models under Multiple Imputation for Coronary Heart Disease in Type 2 Diabetes Mellitus. BIOINFORMATICS 2013: 312-315 - 2012
- [c4]Jin Xu, Albert Y. S. Lam, Victor O. K. Li, Qiwei Li, Xiaodan Fan:
Short adjacent repeat identification based on Chemical Reaction Optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j3]Qiwei Li, Xiaodan Fan, Tong Liang, Shuo-Yen Robert Li:
An MCMC algorithm for detecting short adjacent repeats shared by multiple sequences. Bioinform. 27(13): 1772-1779 (2011) - 2010
- [c3]Qiwei Li, Tong Liang, Xiaodan Fan, Chunhui Xu, Weichang Yu, Shuo-Yen Robert Li:
An automatic procedure to search highly repetitive sequences in genome as fluorescence in situ hybridization probes and its application on Brachypodium distachyon. BIBM 2010: 563-568 - [c2]Jin Xu, Qiwei Li, Xiaodan Fan, Victor O. K. Li, Shuo-Yen Robert Li:
An Evolutionary Monte Carlo algorithm for identifying short adjacent repeats in multiple sequences. BIBM 2010: 643-648 - [c1]Qiwei Li, Tong Liang, Shuo-Yen Robert Li, Xiaodan Fan:
Bayesian Approach for Identifying Short Adjacent Repeats in Multiple Sequences. BIOCOMP 2010: 255-261 - [i1]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S. Tang, Weichuan Yu:
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies. CoRR abs/1001.5130 (2010)
2000 – 2009
- 2007
- [j2]Xiaodan Fan, Jun Zhu, Eric E. Schadt, Jun S. Liu:
Statistical power of phylo-HMM for evolutionarily conserved element detection. BMC Bioinform. 8 (2007) - 2003
- [j1]Ying-Fei Sun, Xiaodan Fan, Yan-Da Li:
Identifying splicing sites in eukaryotic RNA: support vector machine approach. Comput. Biol. Medicine 33(1): 17-29 (2003)
Coauthor Index
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