Additional file 5 of Multi-omics integration for neuroblastoma clinical endpoint prediction
Margherita Francescatto
Marco Chierici
Setareh Rezvan Dezfooli
Alessandro ZandonĂ
Giuseppe Jurman
Cesare Furlanello
10.6084/m9.figshare.6084893.v1
https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Multi-omics_integration_for_neuroblastoma_clinical_endpoint_prediction/6084893
Table S9. The table provides the assignment of the 145 subset patients into the two groups G1 and G2 identified with the deep learning approach and characterized by distinct survival curves. For clarity we report also the TR/TS assignment. (XLSX 7.46 kb)
2018-04-03 05:00:00
Neuroblastoma
Integration
Prediction
Classification
Autoencoder