Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. This book is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data, from getting good data to obtaining meaningful results. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.PROC. Cross-validation is a method for estimating the misclassification rate of a predictor built according to the procedure PROC. First, it randomly ... In that case, the cross-validation predictors are built on only half of the available data and might not be very good. ... For example, for each of the tumours in the breast cancer example a severity score, known as Nottingham prognostic index (NPI) score, anbsp;...
|Title||:||Statistics for Microarrays|
|Author||:||Ernst Wit, John McClure|
|Publisher||:||John Wiley & Sons - 2004-07-23|