Bioinformatics Seminar
Time: 11AM
Venue: Online
25 July 2023
Representation learning of compositional counts: an exploration of deep mutational scanning data
Justin BedoWEHI Bioinformatics
Deep mutational scanning data provides important functional information on the effects of protein variants. Many different aspects of proteins can be assayed, many different experimental designs are possible, and many different scores are computed leading to very heterogeneous data that is difficult to integrate. In this talk I will explore a representational learning approach on raw count data. This technique uses recent methods combining compositional data analysis with a generalised form of principal component analysis to infer protein representations without specific knowledge of the experimental design or assay type.