Author Correction: DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

Código QR

Author Correction: DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-22667-2

Guardado en:

Detalles Bibliográficos
Autores principales:	John-William Sidhom, H. Benjamin Larman, Drew M. Pardoll, Alexander S. Baras
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/70d910c9cd5f4354b58e28d07d780400
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
por: John-William Sidhom, et al.
Publicado: (2021)

Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires
por: John-William Sidhom, et al.
Publicado: (2021)

The TCR repertoire of α-synuclein-specific T cells in Parkinson’s disease is surprisingly diverse
por: Akul Singhania, et al.
Publicado: (2021)

Sequence-to-function deep learning frameworks for engineered riboregulators
por: Jacqueline A. Valeri, et al.
Publicado: (2020)

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data
por: Alessandro Montemurro, et al.
Publicado: (2021)

GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
por: Hongyi Zhang, et al.
Publicado: (2021)

A Framework to Identify Antigen-Expanded T Cell Receptor Clusters Within Complex Repertoires
por: Valentina Ceglia, et al.
Publicado: (2021)

Identification of TCR repertoires in functionally competent cytotoxic T cells cross-reactive to SARS-CoV-2
por: Kanako Shimizu, et al.
Publicado: (2021)

MAIT cell clonal expansion and TCR repertoire shaping in human volunteers challenged with Salmonella Paratyphi A
por: Lauren J. Howson, et al.
Publicado: (2018)

Clonal selection in the human Vδ1 T cell repertoire indicates γδ TCR-dependent adaptive immune surveillance
por: Martin S. Davey, et al.
Publicado: (2017)

Publisher Correction: GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
por: Hongyi Zhang, et al.
Publicado: (2021)

Author Correction: Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing
por: Igor Mandric, et al.
Publicado: (2020)

Reconstructing the dynamics of HIV evolution within hosts from serial deep sequence data.
por: Art F Y Poon, et al.
Publicado: (2012)

Dynamic analysis of peripheral blood TCR β-chain CDR3 repertoire in occupational medicamentosa-like dermatitis due to trichloroethylene
por: Dafeng Lin, et al.
Publicado: (2021)

Author Correction: Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits
por: Arthur Gilly, et al.
Publicado: (2018)

Correction to: Repertoire analysis of γδ T cells in the chicken enables functional annotation of the genomic region revealing highly variable pan-tissue TCR gamma V gene usage as well as identifying public and private repertoires
por: Robert Dixon, et al.
Publicado: (2021)

Deep sequencing of pyrethroid-resistant bed bugs reveals multiple mechanisms of resistance within a single population.
por: Zach N Adelman, et al.
Publicado: (2011)

DeepRank: a deep learning framework for data mining 3D protein-protein interfaces
por: Nicolas Renaud, et al.
Publicado: (2021)

A Selected Deep Learning Cancer Prediction Framework
por: Nadia G. Elseddeq, et al.
Publicado: (2021)

Characterization of the Melanoma miRNAome by Deep Sequencing.
por: Mitchell S Stark, et al.
Publicado: (2010)

BACK TO BASICS: MODERN REACTIVITY CONCEPTS WITHIN THE HMO THEORY FRAMEWORK è..
por: Aizman,Arie, et al.
Publicado: (2004)

Deep-sequencing protocols influence the results obtained in small-RNA sequencing.
por: Joern Toedling, et al.
Publicado: (2012)

Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing
por: Igor Mandric, et al.
Publicado: (2020)

The Concept of Oceanian Sovereignty in the Context of Deep Sea Mining in the Pacific Region
por: Virginie C. Tilot, et al.
Publicado: (2021)

Author Correction: VAMPnets for deep learning of molecular kinetics
por: Andreas Mardt, et al.
Publicado: (2018)

Deep sequencing of RNA from ancient maize kernels.
por: Sarah L Fordyce, et al.
Publicado: (2013)

Rapid evolution of the sequences and gene repertoires of secreted proteins in bacteria.
por: Teresa Nogueira, et al.
Publicado: (2012)

ECNet is an evolutionary context-integrated deep learning framework for protein engineering
por: Yunan Luo, et al.
Publicado: (2021)

A deep explainable artificial intelligent framework for neurological disorders discrimination
por: Soroosh Shahtalebi, et al.
Publicado: (2021)

A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media
por: Munif Alotaibi, et al.
Publicado: (2021)

INDEEDopt: a deep learning-based ReaxFF parameterization framework
por: Mert Y. Sengul, et al.
Publicado: (2021)

Author Correction: Deep brain activities can be detected with magnetoencephalography
por: Francesca Pizzo, et al.
Publicado: (2021)

Deep RNA sequencing of the skeletal muscle transcriptome in swimming fish.
por: Arjan P Palstra, et al.
Publicado: (2013)

Droplet barcoding for massively parallel single-molecule deep sequencing
por: Freeman Lan, et al.
Publicado: (2016)

Enhancing the landscape of colorectal cancer using targeted deep sequencing
por: Chul Seung Lee, et al.
Publicado: (2021)

Deep sequencing-based analysis of the Cymbidium ensifolium floral transcriptome.
por: Xiaobai Li, et al.
Publicado: (2013)

Deep learning for diagnosis of acute promyelocytic leukemia via recognition of genomically imprinted morphologic features
por: John-William Sidhom, et al.
Publicado: (2021)

Whole genome sequencing, variant analysis, phylogenetics, and deep sequencing of Zika virus strains
por: Susmita Shrivastava, et al.
Publicado: (2018)

Diamond growth from organic compounds in hydrous fluids deep within the Earth
por: Maria Luce Frezzotti
Publicado: (2019)

A generalized deep learning framework for whole-slide image segmentation and analysis
por: Mahendra Khened, et al.
Publicado: (2021)