Collection of articles for T-61.6080

Kernel methods

• A statistical framework for genomic data fusion
  G.R.G. Lanckriet, T.D. Bie, N. Cristianini et al. Bioinformatics 20(16) pp. 2626-2635, 2004.
  (Genomic data fusion with semi-definite programming in kernel classifiers.)
  See also
  Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast
  Lanckriet et al., Pacific Symposium on Biocomputing 9:300-311(2004).
• Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis
  Yamanishi et al. Bioinformatics 19 (Supplement 1): i323. (2003)

Probabilistic methods

• Discovery of biological networks from diverse functional genomic data
  Myers et al. Genome Biology 6(13) pp. R114, 2005.
  See also
  A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)
  Troyanskaya et al. Proceedings of National Academy of Sciences 100(14) pp. 8348--8353, 2003.

Integration of microarray data

• Fusing microarray experiments with multivariate regression
  Gilks et al. Bioinformatics 21(suppl. 2) pp. ii137-143, 2005.
• Functional annotation and network reconstruction through cross-platform integration of microarray data
  Zhou et al. Nat Biotech 23 pp. 238--243, 2005.

Theoretical

• Fusion of Similarity Data in Clustering
  T Lange and JM Buhmann, NIPS 2005
• Effectiveness of information extraction, Multi-relational, and Multi-view Learning for Predicting Gene Deletion experiments
  M-A. Krogel and T Scheffer, ICDM'03 p. 569.
  NOTE: please discuss with course organizers if you are willing to present this article

Sensor data fusion