Related references
Note: Only part of the references are listed.Predicting antigen specificity of single T cells based onTCR CDR3 regions
David S. Fischer et al.
MOLECULAR SYSTEMS BIOLOGY (2020)
Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs
Ido Springer et al.
FRONTIERS IN IMMUNOLOGY (2020)
On the viability of unsupervised T-cell receptor sequence clustering for epitope preference
Pieter Meysman et al.
BIOINFORMATICS (2019)
DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction
Zhonghao Liu et al.
SCIENTIFIC REPORTS (2019)
ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks
Yan Hu et al.
BIOINFORMATICS (2019)
DeepLigand: accurate prediction of MHC class I ligands using peptide embedding
Haoyang Zeng et al.
BIOINFORMATICS (2019)
Multifaceted protein-protein interaction prediction based on Siamese residual RCNN
Muhao Chen et al.
BIOINFORMATICS (2019)
MHCSeqNet: a deep neural network model for universal MHC binding prediction
Poomarin Phloyphisut et al.
BMC BIOINFORMATICS (2019)
An integration of deep learning with feature embedding for protein-protein interaction prediction
Yu Yao et al.
PEERJ (2019)
Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires
Sofie Gielis et al.
FRONTIERS IN IMMUNOLOGY (2019)
Pyteomics 4.0: Five Years of Development of a Python Proteomics Framework
Lev I. Levitsky et al.
JOURNAL OF PROTEOME RESEARCH (2019)
Prediction of Epitope-Associated TCR by Using Network Topological Similarity Based on Deepwalk
Jingshu Bi et al.
IEEE ACCESS (2019)
MHCflurry: Open-Source Class I MHC Binding Affinity Prediction
Timothy J. O'Donnell et al.
CELL SYSTEMS (2018)
Epitope Specific Antibodies and T Cell Receptors in the Immune Epitope Database
Swapnil Mahajan et al.
FRONTIERS IN IMMUNOLOGY (2018)
NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data
Vanessa Jurtz et al.
JOURNAL OF IMMUNOLOGY (2017)
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Pradyot Dash et al.
NATURE (2017)
Identifying specificity groups in the T cell receptor repertoire
Jacob Glanville et al.
NATURE (2017)
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
Waseem Rawat et al.
NEURAL COMPUTATION (2017)
Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction
Youngmahn Han et al.
BMC BIOINFORMATICS (2017)
McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences
Nili Tickotsky et al.
BIOINFORMATICS (2017)
Annotation of pseudogenic gene segments by massively parallel sequencing of rearranged lymphocyte receptor loci
Jared Dean et al.
GENOME MEDICINE (2015)
Cross-Reactivity of T Cells and Its Role in the Immune System
Galina Petrova et al.
CRITICAL REVIEWS IN IMMUNOLOGY (2013)
Pyteomics-a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics
Anton A. Goloborodko et al.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2013)
The NumPy Array: A Structure for Efficient Numerical Computation
Stefan van der Walt et al.
COMPUTING IN SCIENCE & ENGINEERING (2011)
Biopython: freely available Python tools for computational molecular biology and bioinformatics
Peter J. A. Cock et al.
BIOINFORMATICS (2009)
Reliable prediction of T-cell epitopes using neural networks with novel sequence representations
M Nielsen et al.
PROTEIN SCIENCE (2003)
Improving predictive inference under covariate shift by weighting the log-likelihood function
H Shimodaira
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2000)