000			02071nam a2200157Ia 4500
999			_c293623 _d293623
020			_a9781405127356
082			_a572.8633 CAU-M
100			_a Helen C Causton
245			_aMicroarry Gene Expression Data Analysis
260			_a Malden, MA _bBlackwell _c2003
300			_a viii, 160 pages : illustrations (some color) ; 24 cm
505			_aThe central dogma of molecular biology -- What are microarrays and how do they work? -- Gene function and drug discovery -- Data generation, processing and analysis: an overview -- Data management -- Experimental design -- Experimental objectives and features of microarray data -- General principles of experimental design -- Reducing the number of variables -- Time courses vs. independent data points -- Replicates and repeated measurements -- Reference samples -- Exogenous ('spiked-in') controls -- Dual labelling/dye swapping -- Validation of results -- Choice and preparation of samples -- Obtaining the appropriate sample -- Strain background -- Mutants -- Reagents -- Sample and sample composition -- Small amounts of sample: RNA amplification and pooling -- Preparation of the labelled extract -- Assessing the quality of the labelled extract -- Choice and design of arrays -- Choice of array platform -- Oligonucleotides vs. PCR products -- Replicate, guide and control features -- Cross-hybridisation -- Hybridisation, scanning and quality control -- Long-term considerations -- Record keeping -- Standardisation -- Image processing, normalisation and data transformation -- Preliminary processing of the data -- Image analysis -- Measuring and reporting expression -- Saturated pixels -- The appropriate number of pixels -- Estimating background -- Reporting expression with Affymetrix GeneChips -- Expression ratios: the starting point for sample comparison -- Transformations of the expression ratio.
650			_a DNA microarrays. Gene expression -- Research -- Methodology. Oligonucleotide Array Sequence Analysis -- methods.
700			_a John Quackenbush; Alvis Brazma
942			_cBK