Linguistics-based formalization of the antibody language as a basis for antibody language models
Apparent parallels between natural language and antibody sequences have led to a surge
in deep language models applied to antibody sequences for predicting cognate antigen …
in deep language models applied to antibody sequences for predicting cognate antigen …
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Machine-learning methods (ML) have shown great potential in the adaptive immune
receptor repertoire (AIRR) field. However, there is a lack of large-scale ground-truth …
receptor repertoire (AIRR) field. However, there is a lack of large-scale ground-truth …
Computational mining of B cell receptor repertoires reveals antigen-specific and convergent responses to Ebola vaccination
E Richardson, S Bibi, F McLean, L Schimanski… - Frontiers in …, 2024 - frontiersin.org
Outbreaks of Ebolaviruses, such as Sudanvirus (SUDV) in Uganda in 2022, demonstrate
that species other than the Zaire ebolavirus (EBOV), which is currently the sole virus …
that species other than the Zaire ebolavirus (EBOV), which is currently the sole virus …
[HTML][HTML] Negative Binomial Mixture Model for Identification of Noise in Antigen-Specificity Predictions by LIBRA-seq
Results In this study, we present a method for denoising LIBRA-seq data by clustering
antigen counts into signal and noise components with a negative binomial mixture model …
antigen counts into signal and noise components with a negative binomial mixture model …