Analyzing microarray data using quantitative association rules
暂无分享,去创建一个
Stefan Kramer | Ulrich Rückert | Elisabeth Georgii | Lothar Richter | Stefan Kramer | Elisabeth Georgii | U. Rückert | L. Richter
[1] Yudong D. He,et al. Functional Discovery via a Compendium of Expression Profiles , 2000, Cell.
[2] Joachim Selbig,et al. Independent components analysis of starch deficient pgm mutants , 2004, German Conference on Bioinformatics.
[3] Shinichi Morishita,et al. Constrained clusters of gene expression profiles with pathological features , 2004, Bioinform..
[4] Michal Linial,et al. Using Bayesian Networks to Analyze Expression Data , 2000, J. Comput. Biol..
[5] Geoffrey I. Webb. Discovering associations with numeric variables , 2001, KDD '01.
[6] Kikuya Kato,et al. Adaptor-tagged competitive PCR: a novel method for measuring relative gene expression. , 1997, Nucleic acids research.
[7] Chad Creighton,et al. Mining gene expression databases for association rules , 2003, Bioinform..
[8] Stefan Kramer,et al. Quantitative association rules based on half-spaces: an optimization approach , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[9] Amit Anil Nanavati,et al. Mining generalised disjunctive association rules , 2001, CIKM '01.