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RECOMB
2002
Springer

A bayesian approach to transcript estimation from gene array data: the BEAM technique

11 years 4 days ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BEAM) technique uses a model of measurement noise and prior information to estimate biological expression levels. It provides a principled method to deal with negative expression level measurements, combine multiple measurements, and identify changes in expression level. BEAM is more flexible than existing techniques, because it does not assume a specific functional form for noise and prior models. Rather, it uses a more accurate noise model developed from experimental data, a process we illustrate here using Affymetrix yeast chips. Categories and Subject Descriptors J.3 [Computer Applications]: Life And Medical Sciences-biology and genetics; I.6.4 [Computing Methodologies]: Simulation and Modeling--model validation and analysis, model development General Terms measurement, verification Keywords DNA Microarrays...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald
Added 03 Dec 2009
Updated 03 Dec 2009
Type Conference
Year 2002
Where RECOMB
Authors Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
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