Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac015
Abstract: Phosphorylation of proteins is one of the most significant post-translational modifications (PTMs) and plays a crucial role in plant functionality due to its impact on signaling, gene expression, enzyme kinetics, protein stability and interactions. Accurate… read more here.
Keywords: deep tabular; phosphorylation sites; tabular learning; sites soybean ... See more keywords
Deep Tabular Representation Corrector.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2025.3637810
Abstract: Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. The recent success of deep learning has fostered many deep networks (e.g., Transformer, ResNet) based tabular… read more here.
Keywords: learning methods; tabular representation; representation corrector; representation ... See more keywords