10.6084/m9.figshare.c.3596576_D3.v1
Stefanie Hieke
Stefanie
Hieke
Axel Benner
Axel
Benner
Richard Schlenl
Richard
Schlenl
Martin Schumacher
Martin
Schumacher
Lars Bullinger
Lars
Bullinger
Harald Binder
Harald
Binder
Additional file 4 of Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information
Springer Nature
2016
Acute myeloid leukemia
Multiple genome-wide data sets
Risk prediction
Multivariable model
Boosting
Time-to-event endpoint
2016-08-30 05:00:00
Journal contribution
https://springernature.figshare.com/articles/journal_contribution/Additional_file_4_of_Integrating_multiple_molecular_sources_into_a_clinical_risk_prediction_signature_by_extracting_complementary_information/4319111
Coefficient paths of the GEP features selected from the sequential complementary strategy and from the reference approach (first AML application example). Parameter estimates obtained from sequential complementary strategy for the microarray-based GEP data (left panel) and parameter estimates obtained from the reference approach for the microarray-based GEP data (right panel), plotted against the number of boosting steps. (PDF 74 kb)