netDx

Description

netDx is a general-purpose algorithm to build a patient classifier from heterogenous patient data. The method converts data into patient similarity networks at the level of features. Feature selection identifies features of predictive value to each class. Methods are provided for versatile predictor design and performance evaluation using standard measures. netDx natively groups molecular data into pathway-level features and connects with Cytoscape for network visualization of pathway themes. For method details see: Pai et al. (2019). netDx: interpretable patient classification using integrated patient similarity networks. Molecular Systems Biology. 15, e8497

Code

Code metrics have not been computed for this package yet.

Topics

People

• Shraddha Pai author maintainer
• Gary Bader author
• Luca Giudice author
• Shirley Hui author
• Ruth Isserlin author
• Hussam Kaka author
• Indy Ng contributor
• Anne Nøhr contributor
• Ahmad Shah author
• Philipp Weber author