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Raphael Gottardo

Showing results (61-70 of 187) with videos related to

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Cytometry. Part a : the Journal of the International Society for Analytical Cytology|January 3, 2014
High-throughput flow cytometry data normalization for clinical trialsGreg Finak, Wenxin Jiang, Kevin Krouse, et al.
Nature Communications|July 2, 2025
ADTnorm: robust integration of single-cell protein measurement across CITE-seq datasetsYe Zheng, Daniel P Caron, Ju Yeong Kim, et al.
Research Square|July 23, 2024
ADTnorm: Robust Integration of Single-cell Protein Measurement across CITE-seq DatasetsYe Zheng, Daniel P Caron, Ju Yeong Kim, et al.
Cell Reports|April 9, 2020
A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell LevelFlorian Mair, Jami R Erickson, Valentin Voillet, et al.
Plos One|October 1, 2014
The inner foreskin of healthy males at risk of HIV infection harbors epithelial CD4+ CCR5+ cells and has features of an inflamed epidermal barrierMaria P Lemos, Javier R Lama, Shelly T Karuna, et al.
Science Advances|September 22, 2021
High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learningEtienne Becht, Daniel Tolstrup, Charles-Antoine Dutertre, et al.
Plos Computational Biology|August 29, 2014
OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysisGreg Finak, Jacob Frelinger, Wenxin Jiang, et al.
Nucleic Acids Research|May 20, 2014
Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functionsLucia Vojtech, Sangsoon Woo, Sean Hughes, et al.
Journal of Virology|July 7, 2018
CD32<sup>+</sup> and PD-1<sup>+</sup> Lymph Node CD4 T Cells Support Persistent HIV-1 Transcription in Treated Aviremic IndividualsAlessandra Noto, Francesco A Procopio, Riddhima Banga, et al.
Nature|January 14, 2026
The ubiquitin ligase KLHL6 drives resistance to CD8<sup>+</sup> T cell dysfunctionHongcheng Cheng, Yapeng Su, Xiaoli Pan, et al.
Pageof 19

Showing results (61-70 of 187) with videos related to

Sort By:
Pageof 19
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|January 3, 2014
High-throughput flow cytometry data normalization for clinical trialsGreg Finak, Wenxin Jiang, Kevin Krouse, et al.
Nature Communications|July 2, 2025
ADTnorm: robust integration of single-cell protein measurement across CITE-seq datasetsYe Zheng, Daniel P Caron, Ju Yeong Kim, et al.
Research Square|July 23, 2024
ADTnorm: Robust Integration of Single-cell Protein Measurement across CITE-seq DatasetsYe Zheng, Daniel P Caron, Ju Yeong Kim, et al.
Cell Reports|April 9, 2020
A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell LevelFlorian Mair, Jami R Erickson, Valentin Voillet, et al.
Plos One|October 1, 2014
The inner foreskin of healthy males at risk of HIV infection harbors epithelial CD4+ CCR5+ cells and has features of an inflamed epidermal barrierMaria P Lemos, Javier R Lama, Shelly T Karuna, et al.
Science Advances|September 22, 2021
High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learningEtienne Becht, Daniel Tolstrup, Charles-Antoine Dutertre, et al.
Plos Computational Biology|August 29, 2014
OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysisGreg Finak, Jacob Frelinger, Wenxin Jiang, et al.
Nucleic Acids Research|May 20, 2014
Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functionsLucia Vojtech, Sangsoon Woo, Sean Hughes, et al.
Journal of Virology|July 7, 2018
CD32<sup>+</sup> and PD-1<sup>+</sup> Lymph Node CD4 T Cells Support Persistent HIV-1 Transcription in Treated Aviremic IndividualsAlessandra Noto, Francesco A Procopio, Riddhima Banga, et al.
Nature|January 14, 2026
The ubiquitin ligase KLHL6 drives resistance to CD8<sup>+</sup> T cell dysfunctionHongcheng Cheng, Yapeng Su, Xiaoli Pan, et al.
Pageof 19