Feature Selection for Data Integration with Mixed Multi-view Data

no code implementations • 27 Mar 2019 • Yulia Baker, Tiffany M. Tang, Genevera I. Allen

B-RAIL serves as a versatile data integration method for sparse regression and graph selection, and we demonstrate the effectiveness of B-RAIL through extensive simulations and a case study to infer the ovarian cancer gene regulatory network.

Data Integration feature selection

A General Framework for Mixed Graphical Models

no code implementations • 2 Nov 2014 • Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Yulia Baker, Ying-Wooi Wan, Zhandong Liu

"Mixed Data" comprising a large number of heterogeneous variables (e. g. count, binary, continuous, skewed continuous, among other data types) are prevalent in varied areas such as genomics and proteomics, imaging genetics, national security, social networking, and Internet advertising.