Inferring protein structure with discriminative learning and network diffusion

In this thesis, we apply several advanced learning techniques, including kernel methods and network diffusion algorithms, to address the remote homology detection problem and several related fundamental learning problems in protein structure inference. One major focus of this thesis is to address the problem of identifying the structural class of protein domains with no close evolutionary relati…