Methods of Microarray Data Analysis II: Papers from CAMDA '01 - Tapa blanda

Sinopsis

Contributors. Acknowledgements. Preface. Introduction. An Introduction to DNA Microarrays; P. McConnell, et al. Experimental Design for Gene Microarray Experiments and Differential Expression Analysis; G.V. Bobashev, et al. Microarray Data Processing and Analysis; J. Dopazo. Biology-Driven Clustering of Microarray Data; K.R. Coombes, et al. Extracting Global Structure from Gene Expression Profiles; C. Fowlkes, et al. Supervised Neural Networks for Clustering Conditions in DNA Array Data after Reducing Noise by Clustering Gene Expression Profiles; A. Mateos, et al. Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants; G. Bidaut, et al. Using Functional Genomic Units to Corroborate User Experiments with the Rosetta Compendium; S.M. Lin, et al. Fishing Expedition - A Supervised Approach to Extract Patterns from a Compendium of Expression Profiles; Z. Zhang, et al. Modeling Pharmacogenomics of the NCI-60 Anticancer Data Set: Utilizing Kernel PLS to Correlate the Microarray Data to Therapeutic Responses; N. Dasgupta, et al. Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Network Learning; Jeong-Ho Chang, et al. Evaluation of Current Methods of Testing Differential Gene Expression and Beyond; Y.-J. Li, et al. Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature; J.P. Sluka. Index.

"Sinopsis" puede pertenecer a otra edición de este libro.