DDR

DDR (Data-Driven Reference) is a software tool to identify reliable and reproducible biomarkers for single sample diagnosis and prognosis across various gene expression platforms. The key features and advantages of DDR are:

1. Uses stably expressed housekeeping genes as references to eliminate platform-specific biases and non-biological variabilities.

2. Identifies biomarkers with "built-in" features that can be consistently interpreted regardless of the profiling technology, enabling classification of single samples independent of platforms.

3. Achieves superior performance in classifying different tumor types and molecular target statuses using smaller sets of biomarkers, as validated with RNA-seq data of blood platelets.

4. Identifies robust biomarkers for subgrouping medulloblastoma samples across different microarray platforms, demonstrating its capability to handle data perturbation.

5. Detects potential new biomarkers for subgrouping medulloblastoma in addition to identifying the majority of subgroup-specific biomarkers in CodeSet of nanoString.

6. Provides a simple yet powerful data-driven method for identifying robust cross-platform gene signatures for single-patient disease classification, facilitating precision medicine.

7. Offers a new strategy for transcriptome analysis.