Selected papers and invited talks Alon N., Asodi V., Cantor C., Kasif S., and Rachlin J. (2006).  Multi-node Graphs: A framework for Multiplexed Biological Assays Biological Assays.  Journal of Computational Biology 13(10):1659-1672. Rachlin J., Cohen D., Cantor C., Kasif S.; 2006  Biological context networks: a mosaic view of the interactome.  Molecular Systems Biology 2:66.   Epub 2006 Nov 28. Rachlin J., Ding C., Cantor C., and Kasif S.; 2005. Computational tradeoffs in multiplex PCR assay design for SNP genotyping. BMC Genomics 6(1):102 Rachlin J., Ding C., Cantor C., and Kasif S.; 2005. MuPlex: multi-objective multiplex PCR assay design. Nucleic Acids Res. 33(Web Server Issue):W544-7. Rachlin J. 2005. Biological Context Networks and the Emergence of Scale-Free Properties.  Genome Informatics.  Cold Spring Harbor. (Invited Talk) Rachlin J., Goodwin R., Murthy S., Akkiraju R., Wu F., Kumaran S., and Das R.; 1999. A-Teams: An Agent Architecture for Optimization and Decision-Support. In Lecture Notes in Artificial Intelligence: Intelligent Agents V, J. Müeller, M. Singh and A. Rao eds. Vol. 1555 (Springer-Verlag). Murthy S., Akkiraju R., Goodwin R., Keskinocak P., Rachlin J., Wu F., Yeh J., Fuhrer R., Kumaran S., Aggarwal A., Sturzenbecker M., Jayaraman R., Daigle R.; 1999. Cooperative multiobjective decision support for the paper industry. INTERFACES 29(5):5-30. Kasif S., Salzberg S., Waltz D., Rachlin J., Aha D.W., 1998. A Probabilistic Framework for Memory-Based Reasoning. Artificial Intelligence 104(1-2):287-311. Goodwin R., Murthy S., Rachlin J., Akkiraju R.; 1998. Interactive Decision Support: Advantages of an Incomplete Utility Model. AAAI-Symposium on Decision-Theoretic Systems. San Francisco, CA. Murthy S., Rachlin J., Akkiraju R., Wu F.; 1997. Agent-Based Cooperative Scheduling. AAAI-97 Workshop on Constraints and Agents. Rachlin J., Kasif S., Salzberg S., and Aha D.W.; 1994. Towards a Better Understanding of Memory-Based Reasoning Systems. Machine Learning: Proceedings of the 11th International Conference, Morgan Kaufmann, San Francisco. Current Projects I am currently working on a book on the application of data-mining to Astronomy. The website Data-Mining for Astronomy describes ideas and recent work in this emerging area.