Publications

Thanks to a generous last-moment donation from Insightful, we will be able to publish in hardcopy the additional papers in SIGKDD Explorations Special Issue on Microarray Data Mining (Dec 2003). The additional papers cover the proper use of cross-validation, clustering, visualization, and biological discovery.

The full special issue, guest edited by Gregory Piatetsky-Shapiro and Pablo Tamayo, is available on-line at
www.acm.org/sigkdd/explorations/issue5-2.htm and will also be mailed to all SIGKDD members. Contents

• Microarray Data Mining: Facing the Challenges
  Gregory Piatetsky-Shapiro and Pablo Tamayo
• A Novel Approach to Determine Normal Variation in Gene Expression Data
  V. Nadimpally and M. Zaki
• Gene Ranking Using Bootstrapped P-values
  S. N. Mukherjee, P. Skykacek, S. J. Roberts, S. J. Gurr
• Improving Classification of Microarray Data using Prototype-based Feature Selection
  B. Hanczar, M. Courtine, A. Benis, C. Hennegar, K. Cl�ment, J.-D. Zucker
• Supervised Analysis When the Number of Candidate Features (p) Greatly Exceeds The Number of Cases (n)
  R. Simon
• Differential Expression, Class Discovery and Class Prediction using S-PLUS and S+ArrayAnalyzer
  M. O'Connell
• Machine Learning Methods Applied to DNA Microarray Data Can Improve the Diagnosis of Cancer
  E. Bair and R. Tibshirani
• Loss-Based Estimation with Cross-Validation: Applications to Microarray Data Analysis
  S. Dudoit, M. J. van der Laan, S. Keles, A. M. Molinaro, S. E. Sinisi, S. L. Teng
• Classification of Heterogeneous Gene Expression Data
  B. Y. M. Fung and V. T. Y. Ng
• Toward Interactive Exploration of Gene Expression Patterns
  D. Jiang, J. Pei, A. Zhang
• Graphical Modeling Based Gene Interaction Analysis for Microarray Data
  X. Wu, Y. Ye, L. Zhang
• Meta-Clustering of Gene Expression Data and Literature-based Information
  P. Glenisson, J. Mathys, B. De Moor
• Mining Biologically Active Patterns in Metabolic Pathways using Microarray Expression Profiles
  H. Mamitsuka, Y. Okuno, A. Yamaguchi
• Statistical Methods for Joint Data Mining of Gene Expression and DNA Sequence Data
  M. D. Curran, H. Liu, F. Long, N. Ge
• Machine Learning in Low-Level Microarray Analysis
  B. I. P Rubinstein, J. McAuliffe, S. Cawley, M. Palaniswami, K. Ramamohanarao, T. P. Speed