79 citations · 259 across the 14 of their papers we have counts for
4 papers · 1 filter
ImmunoLingo: Linguistics-based formalization of the antibody language
Mai Ha Vu, Philippe A. Robert, Rahmad Akbar +4
Apparent parallels between natural language and biological sequence have led to a recent surge in the application of deep language models (LMs) to the analysis of antibody and othe…
Linguistically inspired roadmap for building biologically reliable protein language models
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert +4
Deep neural-network-based language models (LMs) are increasingly applied to large-scale protein sequence data to predict protein function. However, being largely black-box models a…
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation
Ghadi S. Al Hajj, Johan Pensar, Geir Kjetil Sandve
Data simulation is fundamental for machine learning and causal inference, as it allows exploration of scenarios and assessment of methods in settings with full control of ground tr…
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics
Milena Pavlović, Ghadi S. Al Hajj, Chakravarthi Kanduri +5
Machine learning is increasingly used to discover diagnostic and prognostic biomarkers from high-dimensional molecular data. However, a variety of factors related to experimental d…