4.6 Article

Use of machine learning to identify a T cell response to SARS-CoV-2

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Letter Medical Laboratory Technology

Antibody Profiles in Mild and Severe Cases of COVID-19

Zhi-Li Liu et al.

CLINICAL CHEMISTRY (2020)

Article Biochemistry & Molecular Biology

Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19

Takuya Sekine et al.

Article Biochemistry & Molecular Biology

Loss of Bcl-6-Expressing T Follicular Helper Cells and Germinal Centers in COVID-19

Naoki Kaneko et al.

Article Biochemistry & Molecular Biology

Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections

Quan-Xin Long et al.

NATURE MEDICINE (2020)

Letter Medicine, General & Internal

Rapid Decay of Anti-SARS-CoV-2 Antibodies in Persons with Mild Covid-19

F. Javier Ibarrondo et al.

NEW ENGLAND JOURNAL OF MEDICINE (2020)

Article Multidisciplinary Sciences

Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans

Jose Mateus et al.

SCIENCE (2020)

Article Biochemistry & Molecular Biology

Seasonal coronavirus protective immunity is short-lasting

Arthur W. D. Edridge et al.

NATURE MEDICINE (2020)

Article Cell Biology

De novo prediction of cancer-associated T cell receptors for noninvasive cancer detection

Daria Beshnova et al.

SCIENCE TRANSLATIONAL MEDICINE (2020)

Article Biochemical Research Methods

Statistical classifiers for diagnosing disease from immune repertoires: a case study using multiple sclerosis

Jared Ostmeyer et al.

BMC BIOINFORMATICS (2017)

Letter Biochemical Research Methods

MiXCR: software for comprehensive adaptive immunity profiling

Dmitriy A. Bolotin et al.

NATURE METHODS (2015)