Workshops

From Genes to Dynamic Molecular Networks

Deconvoluting gene expression profiles and overlaying gene expression networks with protein pathways

Biological hypothesis generation by pathway expansion

A topological model for transcriptional gene interaction

Cancer biology applications of microarray technology

Design of expression array studies for translation to the clinic

Regression modeling to assess association between gene expression data and clinical measures

Issues in medical studies involving microarrays

Clustering, permutation testing, intermediate phenotypes and complex disease

From gene expression data to cancer class discovery

BRB Array Tools: an integrated package for the analysis of DNA microarray data

Analysis techniques for microarray time-series data

From bioinformatics to computational biology

Computational approaches to making biological sense of genome-wide expression data

Determining gene function with microarrays

Statistical methods in proteomics

Genomics via microarrays

A simple network model for cancer genome abnormalities

Class prediction based on gene expression data: issues in the design and analysis of experiments

Analysis on gene expression data of the NCI's 60 cancer cell lines

Statistical methods for cancer cluster validation in microarray experiments

Bayesian binary regression modeling of outcomes based on microarray expression data

Normalization and statistics for microarray data by self-consistency and local regression

Statistical modeling of microarray data to discover cell cycle dependent transcripts

A comparison of error models for gene expression data with applications to clustering

Plaid models for two-way clustering of microarray data

Support vector methods for functional genomic analysis

Pattern discovery and statistics in gene expression analysis