Daniel Remondini
Network approaches to Hi-C data
The matrix-like shape of the final stage of Hi-C data processing allows the application of methods derived from the combination of Network Theory and Machine Learning. We will show two case studies in which this framework can be of use, namely the generation of synthetic Hi-C data and the identification of chromosomal aberrations.