Data Import and Management
Import data and annotations from various file and data formats, including Affymetrix® GeneChip®, Illumina®, Agilent®, Gene Expression Omnibus (GEO), ImaGene®, SPOT, GenePix® GPR, and GAL. You can also manage experimental data and sample metadata per MIAME standard.
Functions
Objects
MetaData | Metadata from microarray experiment |
Classes
bioma.ExpressionSet | Contain data from microarray gene expression experiment |
bioma.data.ExptData | Contain data values from microarray experiment |
bioma.data.MIAME | Contain experiment information from microarray gene expression experiment |
Topics
- Managing Gene Expression Data in Objects
Overview of objects for Microarray Gene Expression Data
- Representing Expression Data Values in DataMatrix Objects
Construct DataMatrix objects, get and set properties, and access data.
- Representing Expression Data Values in ExptData Objects
Construct ExptData objects, use properties and methods, and access data.
- Representing Sample and Feature Metadata in MetaData Objects
Construct MetaData objects, use properties and methods, and access data.
- Representing Experiment Information in a MIAME Object
Construct MIAME objects, use properties and methods, and access data.
- Representing All Data in an ExpressionSet Object
Construct ExpressionSet objects, use properties and methods, and access data.
- Exchange Bioinformatics Data Between Excel and MATLAB
Example of using Spreadsheet Link™ with software to view bioinformatic data.
- Microarray Data Storage
The Bioinformatics Toolbox™ includes functions, objects, and methods for creating, storing, and accessing microarray data.
- Data Formats and Databases
Access online databases and repositories using various MATLAB® functions and import data to the workspace for further analyses.