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Related Experiment Video

Updated: Jul 5, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Loading and preparing data for analysis in spotfire.

Deepak Kaushal¹, Clayton W Naeve

¹Hartwell Center for Bioinformatics and Biotechnology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Current Protocols in Bioinformatics

|April 23, 2008

Summary

This summary is machine-generated.

This guide details data preparation for microarray analysis in Spotfire. It covers loading, filtering, and normalizing data for accurate mining and statistical analysis.

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Area of Science:

Bioinformatics
Data Science
Genomics

Background:

Microarray data present diverse formats based on technology and instrumentation.
Effective data preparation is crucial for reliable microarray data mining.

Purpose of the Study:

To provide protocols for data preparation in Spotfire.
To detail methods for filtering, transforming, and normalizing microarray data.

Main Methods:

Loading Affymetrix and GenePix data into Spotfire.
Applying data filtering and preprocessing techniques.
Implementing data transformation and normalization methods.

Main Results:

Extracted and enhanced meaningful data characteristics.
Prepared data for statistical tests and clustering.
Enabled normally distributed data for analysis.

Conclusions:

Data preparation is essential for powerful microarray data mining.
Normalization techniques are critical for inter- and intra-experiment analysis.