1. Tools in Pharmacogenomics Biomarker Identification for Cancer Patients
Francesca Scionti, Maria Teresa Di Martino, Daniele Caracciolo, Licia Pensabene, Pierosandro Tagliaferri, and Mariamena Arbitrio
2. High Performance Framework to Analyze Microarray Data
Fabrizio Marozzo and Loris Belcastro
3. Web and Cloud Computing to Analyze Microarray Data
Barbara Calabrese
4. A Microarray Analysis Technique Using a Self-Organizing Multi-Agent Approach
Agostino Forestiero, Giuseppe Papuzzo, Rosaria De Simone, and Rosa Varchera
5. Improving Analysis and Annotation of Microarray Data with Protein Interactions
Max Kotlyar, Serene W.H. Wong, Chiara Pastrello, and Igor Jurisica
6. Algorithms to Preprocess Microarray Image Data
Paolo Zaffino and Maria Francesca Spadea
7. Microarray Data Preprocessing: From Experimental Design to Differential Analysis
Antonio Federico, Laura Aliisa Saarimäki, Angela Serra, Giusy del Giudice, Pia Anneli Sofia Kinaret, Giovanni Scala, and Dario Greco
8. Supervised Methods for Biomarker Detection from Microarray Experiments
Angela Serra, Luca Cattelani, Michele Fratello, Vittorio Fortino, Pia Anneli Sofia Kinaret, and Dario Greco
9. Unsupervised Algorithms for Microarray Sample Stratification
Michele Fratello, Luca Cattelani, Antonio Federico, Alisa Pavel, Giovanni Scala, Angela Serra, and Dario Greco
10. Pathway Enrichment Analysis of Microarray Data
Chiara Pastrello, Yun Niu, and Igor Jurisica
11. Network Analysis of Microarray Data
Alisa Pavel, Angela Serra, Luca Cattelani, Antonio Federico, and Dario Greco
12. geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO)
Davide Chicco
13. Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies
Anna Bernasconi and Silvia Cascianelli
14. Alignment of Microarray Data
Francesco Cauteruccio
15. Integration of DNA Microarray with Clinical and Genomic Data
Francesca Scionti, Mariamena Arbitrio, Daniele Caracciolo, Licia Pensabene, Pierfrancesco Tassone, Pierosandro Tagliaferri, and Maria Teresa Di Martino
16. Clustering Methods for Microarray Data Sets
Giuseppe Agapito and Giuseppe Fedele
17. Microarray Data Analysis Protocol
Gi
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisVendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer sc. N° de réf. du vendeur 758752740
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9781071618417_new
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility.Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets. 332 pp. Englisch. N° de réf. du vendeur 9781071618417
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility.Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets. N° de réf. du vendeur 9781071618417
Quantité disponible : 1 disponible(s)
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209. N° de réf. du vendeur C9781071618417
Quantité disponible : Plus de 20 disponibles
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 328 pages. 10.00x7.01x0.91 inches. In Stock. N° de réf. du vendeur x-1071618415
Quantité disponible : 2 disponible(s)