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Home > Microarray Data Analysis > Tools in Pharmacogenomics Biomarker Identification for Cancer Patients
Microarray Data Analysis |
Giuseppe Agapito
Springer US
Microarray Data Analysis
Tools in Pharmacogenomics Biomarker Identification for Cancer Patients
Authors

Francesca Scionti; Maria Teresa Di Martino; Daniele Caracciolo; Licia Pensabene; Pierosandro Tagliaferri; Mariamena Arbitrio

ARI Id

1665355567006_6070351

Access

Not Available Free

Pages

1-12

DOI

10.1007/978-1-0716-1839-4_1

Chapter URL

https://rd.springer.com/protocol/10.1007/978-1-0716-1839-4_1

Table of Contents of Book
Showing 1 to 20 of 21 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xi
Tools in Pharmacogenomics Biomarker Identification for Cancer Patients
Francesca Scionti; Maria Teresa Di Martino; Daniele Caracciolo; Licia Pensabene; Pierosandro Tagliaferri; Mariamena Arbitrio
1-12
High-Performance Framework to Analyze Microarray Data
Fabrizio Marozzo; Loris Belcastro
13-27
Web and Cloud Computing to Analyze Microarray Data
Barbara Calabrese
29-38
A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach
Agostino Forestiero; Giuseppe Papuzzo; Rosaria De Simone; Rosa Varchera
39-50
Improving Analysis and Annotation of Microarray Data with Protein Interactions
Max Kotlyar; Serene W. H. Wong; Chiara Pastrello; Igor Jurisica
51-68
Algorithms to Preprocess Microarray Image Data
Paolo Zaffino; Maria Francesca Spadea
69-78
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 et al.
79-100
Supervised Methods for Biomarker Detection from Microarray Experiments
Angela Serra; Luca Cattelani; Michele Fratello; Vittorio Fortino; Pia Anneli Sofia Kinaret; Dario Greco
101-120
Unsupervised Algorithms for Microarray Sample Stratification
Michele Fratello; Luca Cattelani; Antonio Federico; Alisa Pavel; Giovanni Scala; Angela Serra et al.
121-146
Pathway Enrichment Analysis of Microarray Data
Chiara Pastrello; Yun Niu; Igor Jurisica
147-159
Network Analysis of Microarray Data
Alisa Pavel; Angela Serra; Luca Cattelani; Antonio Federico; Dario Greco
161-186
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO)
Davide Chicco
187-194
Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19–Related Studies
Anna Bernasconi; Silvia Cascianelli
195-215
Alignment of Microarray Data
Francesco Cauteruccio
217-237
Integration of DNA Microarray with Clinical and Genomic Data
Francesca Scionti; Mariamena Arbitrio; Daniele Caracciolo; Licia Pensabene; Pierfrancesco Tassone; Pierosandro Tagliaferri et al.
239-248
Clustering Methods for Microarray Data Sets
Giuseppe Agapito; Giuseppe Fedele
249-261
Microarray Data Analysis Protocol
Giuseppe Agapito; Mariamena Arbitrio
263-271
Using Gene Ontology to Annotate and Prioritize Microarray Data
Marianna Milano
273-287
Using MMRFBiolinks R-Package for Discovering Prognostic Markers in Multiple Myeloma
Marzia Settino; Mario Cannataro
289-314
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 21 entries
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