Yinyin Yuan

Yinyin is interested in applying machine learning and pattern recognition techniques to a wide range of areas in computational biology and signal processing. In collaboration with several other groups at CRI she works on characterizing the genomic landscape of breast cancer.

Vita

since 04/2009
Postdoctoral research at Cancer Research UK Cambridge Research Institute

2005 - 03/2009
Ph.D. student at the Department of Computer Science, University of Warwick, UK. Advisors: CT Li, R Wilson

2003 - 2005
Undergraduate studies at the Department of Computer Science, University of Warwick, UK.

1999 - 2003
Undergraduate studies at the University of Science and Technology of China (USTC)

Degrees

Ph D, Department of Computer Science, University of Warwick, UK, 2009

M.Sc., Department of Computer Science, University of Warwick, UK, 2005

B.Sc., University of Science and Technology of China (USTC)

Yinyin Yuan

Yinyin Yuan
CR UK - CRI
Li Ka Shing Centre
Robinson Way
Cambridge, CB2 0RE, UK
e: first.last@cancer.org.uk
p: +44 (0) 1223 40 4315

Funded by CRUK logo Affiliated with Cambridge University

Publications

Journal papers

  1. Y. Yuan and C.-T. Li, Directed Partial Correlation for Inferring Gene Regulatory Network from Large-Scale Gene Expression Time Series, Journal Paper (in preparation), 2009. [ data and code ]
  2. C.-T. Li, Y. Yuan and R. Wilson, Conditional Random Fields for Gene Expression Data Analysis, Bioinformatics, 24(21):2467-2473, 2008.
  3. Y. Yuan and C.-T. Li, A Bayes Random Field Approach for Integrative Large-Scale Regulatory Network Analysis, Journal of Integrative Bioinformatics, 5(2):99, 2008.
  4. Y. Yuan, C.-T. Li and R.Wilson, PartialMixture Model for Gene Expression Tight Clustering,BMC Bioinformatics, 9:287, 2008.
  5. Y. Yuan and C.-T. Li, Understanding Gene Clusters: An Investigation into Quantitative Assessment, submitted to Bioinformatics, 2008.
  6. C.-T. Li and Y. Yuan, Digital Watermarking Scheme Exploiting Non-deterministic Dependence for Image Authentication, Optical Engineering, 45(12):127001-1-127001-6, 2006.
  7. S. Wu, Y. Yuan, J. Lu and L. Huang, Applying Markov Chain to Text Steganography, Journal of Computer Research and Development, China, 2002.

Conference papers

  1. Y. Yuan and C.-T. Li, “Inferring Causal Relations from Large-Scale Multivariate Time Series: A Fast Method for Gene Expression Data,” accepted by IEEE Symposium on ComputationalIntelligence in Bioinformatics and Computational Biology (CIBCB), US, 2009.
  2. Y. Yuan and C.-T. Li, “Probabilistic Framework for Gene Expression Clustering Validation Based on Gene Ontology and Graph Theory,” in Proc. of International Conference of Acoustics, Speech, and Signal Processing (ICASSP), pp. 625-628, Las Vegas, US, 2008.
  3. Y. Yuan and C.-T. Li, “Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis,” in Proc. of International Symposium on BioInformatics and BioEngineering (BIBE), 1061-1065, Boston, US, 2007.
  4. Y. Yuan and C.-T. Li, “Unsupervised Clustering of Gene Expression Time Series with Conditional Random Fields,” in Proc. of IEEE Workshop on Biomedical Applications for Digital Ecosystems (BADS), Cairns, Australia, 2007.
  5. Y. Yuan and C.-T. Li, “Fragile Watermarking Scheme Exploiting Non-deterministic Block-wise Dependency,” in Proc. of International Conference on Pattern Recognition (ICPR), 4:23-26, Cambridge, UK, 2004.