E-Book, Englisch, 329 Seiten, eBook
Shmulevich Computational and Statistical Approaches to Genomics
Erscheinungsjahr 2007
ISBN: 978-0-306-47825-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 329 Seiten, eBook
ISBN: 978-0-306-47825-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Microarray Image Analysis and Gene Expression Ratio Statistics.- Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification.- Sources of Variation in Microarray Experiments.- Studentizing Microarray Data.- Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains.- Selecting Informative Genes for Cancer Classification Using Gene Expression Data.- Design Issues and Comparison of Methods for Microarray-Based Classification.- Analyzing Protein Sequences Using Signal Analysis Techniques.- Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome.- Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics.- Inference of Genetic Regulatory Networks Via Best-Fit Extensions.- Regularization and Noise Injection for Improving Genetic Network Models.- Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations.- Human Glioma Diagnosis from Gene Expression Data.- Application of DNA Microarray Technology to Clinical Biopsies of Breast Cancer.- Alternative Splicing: Genetic Complexity in Cancer.- Single-Nucleotide Polymorphisms, DNA Repair, and Cancer.