A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
IS Stafford, M Kellermann, E Mossotto, RM Beattie… - NPJ digital …, 2020 - nature.com
Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
Computational approaches to therapeutic antibody design: established methods and emerging trends
Antibodies are proteins that recognize the molecular surfaces of potentially noxious
molecules to mount an adaptive immune response or, in the case of autoimmune diseases …
molecules to mount an adaptive immune response or, in the case of autoimmune diseases …
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-
recognition tasks. The ability to learn complex patterns in data has tremendous implications …
recognition tasks. The ability to learn complex patterns in data has tremendous implications …
GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
Similarity in T-cell receptor (TCR) sequences implies shared antigen specificity between
receptors, and could be used to discover novel therapeutic targets. However, existing …
receptors, and could be used to discover novel therapeutic targets. However, existing …
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires
The adaptive immune system recognizes antigens via an immense array of antigen-binding
antibodies and T-cell receptors, the immune repertoire. The interrogation of immune …
antibodies and T-cell receptors, the immune repertoire. The interrogation of immune …
Mapping the functional landscape of T cell receptor repertoires by single-T cell transcriptomics
Many experimental and bioinformatics approaches have been developed to characterize the
human T cell receptor (TCR) repertoire. However, the unknown functional relevance of TCR …
human T cell receptor (TCR) repertoire. However, the unknown functional relevance of TCR …
[HTML][HTML] Mining adaptive immune receptor repertoires for biological and clinical information using machine learning
The adaptive immune system stores invaluable information about current and past immune
responses and may serve as an ultrasensitive biosensor. Given the immune system's critical …
responses and may serve as an ultrasensitive biosensor. Given the immune system's critical …
Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity
WS DeWitt III, A Smith, G Schoch, JA Hansen… - Elife, 2018 - elifesciences.org
The T cell receptor (TCR) repertoire encodes immune exposure history through the dynamic
formation of immunological memory. Statistical analysis of repertoire sequencing data has …
formation of immunological memory. Statistical analysis of repertoire sequencing data has …
Biophysicochemical motifs in T-cell receptor sequences distinguish repertoires from tumor-infiltrating lymphocyte and adjacent healthy tissue
Immune repertoire deep sequencing allows comprehensive characterization of antigen
receptor–encoding genes in a lymphocyte population. We hypothesized that this method …
receptor–encoding genes in a lymphocyte population. We hypothesized that this method …
Reproducibility and reuse of adaptive immune receptor repertoire data
High-throughput sequencing (HTS) of immunoglobulin (B-cell receptor, antibody) and T-cell
receptor repertoires has increased dramatically since the technique was introduced in 2009 …
receptor repertoires has increased dramatically since the technique was introduced in 2009 …