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I An Exploration of Clustering Methods For Gene Expression Analysis Project I Project I
II Classification methods for small n large p problems in microarray analysis Project II Project II
III Detecting coding regions using frequency decomposition - Testing the consensus codon hypothesis Project III Project III
IV Hidden Markov Models for Genomic and Proteomic Structural Analysis Project IV Project IV

Probabilistic and Statistical Aspects of Protein Structure Prediction

Project V Project V
VI Normalization and standardization in microarray experiments Project VI Project VI
VII Simulation-based analysis of the spatial configuration of nuclear bodies. Project VII Project VII
VIII Predicting protein-protein interaction using statistical classification methods Project VIII Project VIII
IX Protein classification via motif counting and analysis : rule-based approaches Project IX Project IX
X Statistical methods in spectroscopy in genomics, proteomics and metabonomics Project X Project X