Microarray Data Analysis (Methods in Molecular Biology, 2401)

Agapito, Giuseppe

ISBN 10: 1071618385 / ISBN 13: 9781071618387

Edité par Springer, 2021

A propos de cet article

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N° de réf. du vendeur CE-2205C-PARIS-19-1000XS

Détails bibliographiques

• Titre: Microarray Data Analysis (Methods in Molecular Biology, 2401)
• Éditeur: Springer
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1071618385
• ISBN à 13 chiffres: 9781071618387
• Reliure: Hardcover
• Édition: 1. Auflage
• État de l'article: Very Good

A propos de ce titre

Synopsis

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