Data Level Classification
Data level distinguishes raw data from derived data, from higher-level analysis or interpreted results for each data type, platform, and center.
The following table lists and describes each TCGA data level.
Summary/Regions of Interest (ROI)
|1||For affymetrix platform, If CEL files (level1 data) are normalized by RMA (Robust Multi-chip Average) method, the outputs are expression values normalized across all samples (level 3 data).|
Relationships Between Data Type and Data Level
Each platform can produce multiple data types. To understand data categorization, it is important to clarify the relationship between data type and data level.
Each data type is associated with sets of data that span one more data levels. Each center and platform may have a slightly different concept of data level depending on their data types, and the algorithms used for analysis.
For descriptions of data types and corresponding data levels see Data Types and Data Levels.