JMP Genomics is an Affymetrix® GeneChip-compatible™ Software Solution.
JMP Genomics: Predictive Modeling
Predictive modeling capabilities beyond compare.
With release 4.1, JMP Genomics adds new survival predictive modeling capabilities, ROC curves and ROC statistics. These additions further strengthen the predictive modeling functionality in JMP Genomics, and strongly differentiate JMP Genomics from competitors in the genomics software space.
As the cost of whole-genome analysis has dropped, collection of multiple data types on the same samples has become commonplace. Only JMP Genomics guides you through comprehensive exploratory analyses of separate and paired data types – SNP, expression, methylation, mass spec, miRNA, tiling, copy number – andpermits you to combine all these different predictors to build, test and cross-validate biomarker signatures.
The direction of the predictive modeling functionality in JMP Genomics has been greatly influenced by our intensive involvement in the MicroArray Quality Control consortium spearheaded by the Food & Drug Administration. Phase II of this collaborative effort between genomics platform providers, scientists and analysts in academia, government and industry is focused on developing best practices for predictive modeling with genomic biomarkers. As a result, JMP Genomics has implemented a number of replication and iteration strategies that seek to reduce bias in these studies, and honest cross-validation approaches that can accurately assess the relative performance of hundreds of different models at a time.
Compare the accuracy of multiple predictive models with JMP Genomics Cross-Validation Model Comparison.
Users of both JMP Genomics and SAS Grid Manager can take advantage of experimental grid-enablement of predictive modeling functions.
It lets you:
- Choose between multiple predictive modeling methods aimed at identifying key biomarkers from wide data sets using extensive statistical options for filtering predictors.
- Perform cross-validation on sets of models with an array of holdout methods and size options.
- Users of both JMP Genomics and SAS Grid Manager can take advantage of experimental grid-enablement of predictive modeling functions.
JMP Genomics 4 Capabilities and Features
JMP Genomics 5.1 Release Notes
JMP Genomics Customer Successes
North Carolina State University
Next Steps
Request Information or Schedule a Demonstration
Call JMP Genomics Sales
877.594.6567 (US)
International Sales via Worldwide SAS Offices
Contact JMP Genomics Sales
877.594.6567 (US)
