Zobrazeno 1 - 6
of 6
pro vyhledávání: '"John-William Sidhom"'
Autor:
Joel Kidman, Rachael M. Zemek, John-William Sidhom, Debora Correa, Nicola Principe, Fezaan Sheikh, Vanessa S. Fear, Catherine A. Forbes, Abha Chopra, Louis Boon, Ayham Zaitouny, Emma de Jong, Robert A. Holt, Matt Jones, Michael J. Millward, Timo Lassmann, Alistair R.R. Forrest, Anna K. Nowak, Mark Watson, Richard A. Lake, W. Joost Lesterhuis, Jonathan Chee
Publikováno v:
OncoImmunology, Vol 13, Iss 1 (2024)
ABSTRACTImmune checkpoint therapy (ICT) causes durable tumour responses in a subgroup of patients, but it is not well known how T cell receptor beta (TCRβ) repertoire dynamics contribute to the therapeutic response. Using murine models that exclude
Externí odkaz:
https://doaj.org/article/f60545e051804f9796499b61db90824e
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
SARS-CoV-2 infection is characterized by a highly variable clinical course with patients experiencing asymptomatic infection all the way to requiring critical care support. This variation in clinical course has led physicians and scientists to study
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-recognition tasks. The ability to learn complex patterns in data has tremendous implications in immunogenomics. T-cell receptor (TCR) sequencing assesses the diver
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-recognition tasks. The ability to learn complex patterns in data has tremendous implications in immunogenomics. T-cell receptor (TCR) sequencing assesses the diver
Deep learning has the ability to extract meaningful features from data given enough training examples. Large scale genomic data are well suited for this class of machine learning algorithms; however, for many of these data the labels are at the level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8096458d22a5f604ecbef6f51f72cf07
https://doi.org/10.1101/2020.08.05.237206
https://doi.org/10.1101/2020.08.05.237206
MotivationThe immune system has potential to present a wide variety of peptides to itself as a means of surveillance for pathogenic invaders. This means of surveillances allows the immune system to detect peptides derives from bacterial, viral, and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25b663c6ebe476afc274f0f1ee092e78
https://doi.org/10.1101/318881
https://doi.org/10.1101/318881