[Bioinformatics] [Classification/Clustering/Metric Learning] [Graphical Models]
[ IR/NLP] [Molecular Biology] [Nonparametric Bayes] [Statistical Genetics]
[Random Graphs and Network Modeling] [Variational Methods]

  • E.M. Airoldi, D.M. Blei, S.E. Fienberg, E.P. Xing, Latent mixed-membership allocation models of relational and multivariate attribute data, Valencia & ISBA Joint World Meeting on Bayesian Statistics (2006).



  • E.P. Xing, R. Sharan and M.I Jordan, Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of the 21st International Conference on Machine Learning (ICML2004),  (eds. Greiner and Schuurmans), ACM Press, 879-886, [ps]. An earlier version of this paper also appeared as a book chapter in Lecture Notes in Bioinformatics, Special issue for 2nd RECOMB Satellite Workshop on Computational Methods for SNPs and Haplotypes, 2004. (ps).


  • E.P. Xing, An expressive modular probabilistic model for de novo motif detection, IJCAI Workshop on Learning Graphical Models for Computational Genomics, 2003.




  • E.P. Xing, C. Kulikowski, I. Muchnik, I. Dubchak, D. Wolf, S. Spengler and M. Zorn, Analysis of ribosomal RNA sequences by combinatorial clustering, Proceedings, The Seventh International Conference on Intelligence Systems for Molecular Biology (ISMB99), (Eds. T. Lengauer et al.) AAAI/MIT Press, Menlo Park, CA. P. 287-296, 1999.

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Last updated 08/09/06