Discusses challenges in comparing non-Euclidean data, proposing a Laplacian-based solution for graph alignment and exploring optimal transport for graph distance computation.
Explores protein mass spectrometry, proteomics techniques, sample preparation, separation methods, quantitative workflows, bioinformatics, and applications in biology.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
