title: Computational diagnostics with gene expression profiles.
abstract: Gene expression profiling using micro-arrays is a modern approach for molecular diagnostics. In clinical micro-array studies, researchers aim to predict disease type, survival, or treatment response using gene expression profiles. In this process, they encounter a series of obstacles and pitfalls. This chapter reviews fundamental issues from machine learning and recommends a procedure for the computational aspects of a clinical micro-array study.
authors: Max Planck Institute for Molecular Genetics and Berlin Center for Genome-Based Bioinformatics, Berlin, Germany.
authors: Claudio
authors: C
authors: Lottaz
authors: Dennis
authors: D
authors: Kostka
authors: Florian
authors: F
authors: Markowetz
authors: Rainer
authors: R
authors: Spang
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D025202:Molecular Diagnostic Techniques; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*