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Nature Biotechnology
|
December 12, 2018
Dimensionality reduction for visualizing single-cell data using UMAP
Etienne Becht, Leland McInnes, John Healy, et al.
Mucosal Immunology
|
August 9, 2018
Dynamics of helper CD4 T cells during acute and stable allergic asthma
Yanxia Lu, Hassen Kared, Shu Wen Tan, et al.
Science Advances
|
September 22, 2021
High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning
Etienne Becht, Daniel Tolstrup, Charles-Antoine Dutertre, et al.
Oncoimmunology
|
May 4, 2016
Gene expression profiling of circulating tumor cells and peripheral blood mononuclear cells from breast cancer patients
Michal Hensler, Irena Vančurová, Etienne Becht, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 19, 2019
Cancer stemness, intratumoral heterogeneity, and immune response across cancers
Alex Miranda, Phineas T Hamilton, Allen W Zhang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
March 20, 2016
Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapy
Etienne Becht, Aurélien de Reyniès, Nicolas A Giraldo, et al.
Clinical & Translational Immunology
|
September 30, 2020
Partial absence of PD-1 expression by tumor-infiltrating EBV-specific CD8<sup>+</sup> T cells in EBV-driven lymphoepithelioma-like carcinoma
Yannick Simoni, Etienne Becht, Shamin Li, et al.
Frontiers in Immunology
|
January 29, 2024
Characterization of CD4<sup>+</sup> and CD8<sup>+</sup> T cells responses in the mixed lymphocyte reaction by flow cytometry and single cell RNA sequencing
Adèle Mangelinck, Agathe Dubuisson, Etienne Becht, et al.
Advances in Immunology
|
March 1, 2016
Immune Contexture, Immunoscore, and Malignant Cell Molecular Subgroups for Prognostic and Theranostic Classifications of Cancers
Etienne Becht, Nicolas A Giraldo, Claire Germain, et al.
Genome Biology
|
December 3, 2016
Erratum to: Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
Etienne Becht, Nicolas A Giraldo, Laetitia Lacroix, et al.
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of 7
Search research articles
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Showing results (11-20 of 67) with videos related to
Sort By:
Page
of 7
Nature Biotechnology
|
December 12, 2018
Dimensionality reduction for visualizing single-cell data using UMAP
Etienne Becht, Leland McInnes, John Healy, et al.
Mucosal Immunology
|
August 9, 2018
Dynamics of helper CD4 T cells during acute and stable allergic asthma
Yanxia Lu, Hassen Kared, Shu Wen Tan, et al.
Science Advances
|
September 22, 2021
High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning
Etienne Becht, Daniel Tolstrup, Charles-Antoine Dutertre, et al.
Oncoimmunology
|
May 4, 2016
Gene expression profiling of circulating tumor cells and peripheral blood mononuclear cells from breast cancer patients
Michal Hensler, Irena Vančurová, Etienne Becht, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 19, 2019
Cancer stemness, intratumoral heterogeneity, and immune response across cancers
Alex Miranda, Phineas T Hamilton, Allen W Zhang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
March 20, 2016
Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapy
Etienne Becht, Aurélien de Reyniès, Nicolas A Giraldo, et al.
Clinical & Translational Immunology
|
September 30, 2020
Partial absence of PD-1 expression by tumor-infiltrating EBV-specific CD8<sup>+</sup> T cells in EBV-driven lymphoepithelioma-like carcinoma
Yannick Simoni, Etienne Becht, Shamin Li, et al.
Frontiers in Immunology
|
January 29, 2024
Characterization of CD4<sup>+</sup> and CD8<sup>+</sup> T cells responses in the mixed lymphocyte reaction by flow cytometry and single cell RNA sequencing
Adèle Mangelinck, Agathe Dubuisson, Etienne Becht, et al.
Advances in Immunology
|
March 1, 2016
Immune Contexture, Immunoscore, and Malignant Cell Molecular Subgroups for Prognostic and Theranostic Classifications of Cancers
Etienne Becht, Nicolas A Giraldo, Claire Germain, et al.
Genome Biology
|
December 3, 2016
Erratum to: Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
Etienne Becht, Nicolas A Giraldo, Laetitia Lacroix, et al.
Page
of 7