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                             44 results found
no title author magazine year volume issue page(s) type
1 A comparison of clustering models for inference of T cell receptor antigen specificity Hudson, Dan
1-2 C p.
 article
2 A computational and experimental approach to studying NFkB signaling in response to single, dual, and triple TLR signaling Newman, Thalia
1-2 C p.
 article
3 AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets Lees, William D.
1-2 C p.
 article
4 A Nextflow pipeline for T-cell receptor repertoire reconstruction and analysis from RNA sequencing data Rubio, Teresa
1-2 C p.
 article
5 Association of pyroptosis and severeness of COVID-19 as revealed by integrated single-cell transcriptome data analysis Xu, Qian
1-2 C p.
 article
6 Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report Meysman, Pieter
1-2 C p.
 article
7 CelltrackR: An R package for fast and flexible analysis of immune cell migration data Wortel, Inge M.N.
1-2 C p.
 article
8 Computational modelling of immunological mechanisms: From statistical approaches to interpretable machine learning Rodríguez Martínez, María
1-2 C p.
 article
9 Corrigendum to “T-cell receptor binding prediction: A machine learning revolution” [ImmunoInformatics, Volume 15, September 2024, 100040] Rodríguez Martínez, Prof. María
1-2 C p.
 article
10 Data mining antibody sequences for database searching in bottom-up proteomics Trinh, Xuan-Tung
1-2 C p.
 article
11 Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: A systematic literature review Echle, Amelie
1-2 C p.
 article
12 Do domain-specific protein language models outperform general models on immunology-related tasks? Deutschmann, Nicolas
1-2 C p.
 article
13 Epitopedia: identifying molecular mimicry between pathogens and known immune epitopes Balbin, Christian A
1-2 C p.
 article
14 Epitope identification of SARS-CoV-2 structural proteins using in silico approaches to obtain a conserved rational immunogenic peptide Araújo, Leonardo Pereira de
1-2 C p.
 article
15 Guiding a language-model based protein design method towards MHC Class-I immune-visibility targets in vaccines and therapeutics Gasser, Hans-Christof
1-2 C p.
 article
16 Immune checkpoint therapy modeling of PD-1/PD-L1 blockades reveals subtle difference in their response dynamics and potential synergy in combination Kaveh, Kamran
1-2 C p.
 article
17 ImmunoInformatics: at the crossroads between immunology and informatics, and beyond Halama, Niels
1-2 C p.
 article
18 Immunoinformatics: Pushing the boundaries of immunology research and medicine Chatanaka, Miyo K.
1-2 C p.
 article
19 Improving immunovirotherapies: the intersection of mathematical modelling and experiments Engeland, Christine E.
1-2 C p.
 article
20 In silico design and evaluation of a multi-epitope and multi-antigenic African swine fever vaccine Buan, Ara Karizza G.
1-2 C p.
 article
21 In silico modelling of CD8 T cell immune response links genetic regulation to population dynamics Nguyen, Thi Nhu Thao
1-2 C p.
 article
22 In silico single-cell metabolism analysis unravels a new transition stage of CD8 T cells 4 days post-infection Arpin, Christophe
1-2 C p.
 article
23 Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response Zhang, Shuming
1-2 C p.
 article
24 Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interaction predictions Dens, Ceder
1-2 C p.
 article
25 Lessons learned from the IMMREP23 TCR-epitope prediction challenge Nielsen, Morten
1-2 C p.
 article
26 Machine-learning-based analytics for risk forecasting of anaphylaxis during general anesthesia Liu, Shuang
1-2 C p.
 article
27 Modeling interaction of Glioma cells and CAR T-cells considering multiple CAR T-cells bindings Li, Runpeng
1-2 C p.
 article
28 Modelling rheumatoid arthritis: A hybrid modelling framework to describe pannus formation in a small joint Macfarlane, Fiona R.
1-2 C p.
 article
29 Molecular mimicry impact of the COVID-19 pandemic: Sequence homology between SARS-CoV-2 and autoimmune diseases epitopes Maldonado-Catala, Pablo
1-2 C p.
 article
30 Multicohort analysis identifies conserved transcriptional interactions between humans and Plasmodium falciparum Silva, Bárbara Fernandes
1-2 C p.
 article
31 Navigating the immunosuppressive brain tumor microenvironment using spatial biology Widodo, Samuel S.
1-2 C p.
 article
32 NetMHCphosPan - Pan-specific prediction of MHC class I antigen presentation of phosphorylated ligands Refsgaard, Carina Thusgaard
1-2 C p.
 article
33 Recent advances in T-cell receptor repertoire analysis: Bridging the gap with multimodal single-cell RNA sequencing Valkiers, Sebastiaan
1-2 C p.
 article
34 Recent computational image workflows advance the spatio-phenotypic analysis of the tumor immune microenvironment Valous, Nektarios A.
1-2 C p.
 article
35 SARS-CoV-2-identical protein regions found in mammalian coronaviruses have immunogenic potential and can imply cross-protection Lopes, Luciano Rodrigo
1-2 C p.
 article
36 SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein Parn, Simone
1-2 C p.
 article
37 Scifer: An R/Bioconductor package for large-scale integration of Sanger sequencing and flow cytometry data of index-sorted single cells Arcoverde Cerveira, Rodrigo
1-2 C p.
 article
38 Structural pre-training improves physical accuracy of antibody structure prediction using deep learning. Kończak, Jarosław
1-2 C p.
 article
39 T-cell receptor binding prediction: A machine learning revolution Weber, Anna
1-2 C p.
 article
40 The journey towards complete and accurate prediction of HLA antigen presentation Nilsson, Jonas Birkelund
1-2 C p.
 article
41 The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions Gazeau, Sonia
1-2 C p.
 article
42 To what extent does MHC binding translate to immunogenicity in humans? Lee, Chloe H.
1-2 C p.
 article
43 Transfer learning improves pMHC kinetic stability and immunogenicity predictions Fasoulis, Romanos
1-2 C p.
 article
44 Using in silico models to predict lymphocyte activation and development in a data rich era Khakoo, Salim I
1-2 C p.
 article
                             44 results found
 
 Koninklijke Bibliotheek - National Library of the Netherlands