Search Results

BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.

• Authors : Zhang, Min¹ (AUTHOR); Cheng, Qi¹ (AUTHOR); Wei, Zhenyu¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-15. 15p.

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Attention-aware differential learning for predicting peptide-MHC class I binding and T cell receptor recognition.

• Authors : Niu R; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129 Shaanxi, China.; Wang J

Subjects: Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/metabolism ; Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/immunology ; Histocompatibility Antigens Class I*/Histocompatibility Antigens Class I*/Histocompatibility Antigens Class I*/metabolism

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 Nov 22; Vol. 26 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity.

• Authors : Jiang F; Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States.; Guo Y

Subjects: Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/chemistry ; Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/immunology ; Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/metabolism

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 May 23; Vol. 25 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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tcrBLOSUM: an amino acid substitution matrix for sensitive alignment of distant epitope-specific TCRs.

• Authors : Postovskaya A; Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.

Subjects: Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/immunology ; Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/genetics ; Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/chemistry

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 Nov 22; Vol. 26 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Deep autoregressive generative models capture the intrinsics embedded in T-cell receptor repertoires.

• Authors : Jiang, Yuepeng¹ (AUTHOR); Li, Shuai Cheng¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Mar2023, Vol. 24 Issue 2, p1-11. 11p.

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TCRpower: quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences.

• Authors : Dahal-Koirala S; K.G. Jebsen Coeliac Disease Research Centre, University of Oslo, Oslo, 0372, Norway.; Department of Immunology, University of Oslo and Oslo University Hospital-Rikshospitalet, Oslo, 0372, Norway.

Subjects: Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/genetics; Humans ; Receptors, Antigen, T-Cell, alpha-beta/Receptors, Antigen, T-Cell, alpha-beta/Receptors, Antigen, T-Cell, alpha-beta/genetics

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Mar 10; Vol. 23 (2).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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A comprehensive benchmarking for evaluating TCR embeddings in modeling TCR-epitope interactions.

• Authors : Feng, Xikang¹ (AUTHOR); Huo, Miaozhe² (AUTHOR); Li, He¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2025, Vol. 26 Issue 1, p1-11. 11p.

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A novel statistical method for decontaminating T-cell receptor sequencing data.

• Authors : Li R; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, 77030, Texas, Houston, USA.; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA.

Subjects: Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/Receptors, Antigen, T-Cell*/genetics ; T-Lymphocytes*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Jul 20; Vol. 24 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Ovarian cancer is detectable from peripheral blood using machine learning over T-cell receptor repertoires.

• Authors : Zuckerbrot-Schuldenfrei, Miriam¹ (AUTHOR); Aviel-Ronen, Sarit² (AUTHOR); Zilberberg, Alona¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Mar2024, Vol. 25 Issue 2, p1-10. 10p.

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Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencing.

• Authors : Peng, Kerui¹ (AUTHOR); Nowicki, Theodore S^2,3 (AUTHOR); Campbell, Katie⁴ (AUTHOR)

• Source: Briefings in Bioinformatics. Jul2023, Vol. 24 Issue 4, p1-12. 12p.

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