ArticleFrontiers in genetics2022
DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Machine Learning of Personal Repertoires From Public T Cell Receptors.Immunological reviews · 2026Review
- Peripheral Blood TCR Clonotype Diversity as a Biomarker for Colorectal Cancer.Bioengineering (Basel, Switzerland) · 2025Article
- Deep learning-driven TCRβ repertoire analysis enhances diagnosis and enables mining of immunological biomarkers in systemic lupus erythematosus.BioData mining · 2025Article
- EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning.Bioinformatics (Oxford, England) · 2025Article
- Deep learning-based prediction of autoimmune diseases.Scientific reports · 2025Article
- T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging.Frontiers in immunology · 2025Article
- Peripheral blood TCR repertoire improves early detection across multiple cancer types utilizing a cancer predictor.Frontiers in oncology · 2025Article
- AutoTFCNNY: A multi-instance neural network for enhanced early cancer detection using TCR data.PloS one · 2025Article
- Application of multimodal deep learning and multi-instance learning fusion techniques in predicting STN-DBS outcomes for Parkinson's disease patients.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Article
- BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.Briefings in bioinformatics · 2024Article
- TCRcost: a deep learning model utilizing TCR 3D structure for enhanced of TCR-peptide binding.Frontiers in genetics · 2024Article
- DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs.Frontiers in immunology · 2024Article
- Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study.BMC cancer · 2023Article
- Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences.BMC bioinformatics · 2022Article
- AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies highlight the potential of T cell receptor (TCR) repertoires in accurately detecting cancers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.