Fundamentals of Data Mining in Genomics and Proteomics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Dubitzky, Werner (Επιμελητής έκδοσης), Granzow, Martin (Επιμελητής έκδοσης), Berrar, Daniel (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2007.
• Θέματα: Life sciences.; Biotechnology.; Biochemistry.; Proteomics.; Bioinformatics.; Computational biology.; Statistics.; Life Sciences.; Biochemistry, general.; Statistics, general.; Computer Appl. in Life Sciences.

More than ever before, research and development in genomics and proteomics depends on the analysis and interpretation of large amounts of data generated by high-throughput techniques. With the advance of computational systems biology, this situation will become even more manifest as scientists will...

Πίνακας περιεχομένων:

• to Genomic and Proteomic Data Analysis
• Design Principles for Microarray Investigations
• Pre-Processing DNA Microarray Data
• Pre-Processing Mass Spectrometry Data
• Visualization in Genomics and Proteomics
• Clustering — Class Discovery in the Post-Genomic Era
• Feature Selection and Dimensionality Reduction in Genomics and Proteomics
• Resampling Strategies for Model Assessment and Selection
• Classification of Genomic and Proteomic Data Using Support Vector Machines
• Networks in Cell Biology
• Identifying Important Explanatory Variables for Time-Varying Outcomes
• Text Mining in Genomics and Proteomics.