Weighted kernel Fisher discriminant analysis for integrating heterogeneous data

Data integration is becoming an essential tool to cope with and make sense of the ever increasing amount of biological data. Genomic data arises in various shapes and forms including vectors, graphs or sequences, therefore, it is essential to carefully consider strategies that best capture the most information contained in each data type. The need for integration of heterogeneous data measured on the same individuals arises in a wide range of …