Rezultati - Francesca Finotello

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  1. 1
    New strategies for cancer immunotherapy: targeting regulatory T cells

    New strategies for cancer immunotherapy: targeting regulatory T cells od Francesca Finotello, Zlatko Trajanoski

    Izdano 2017
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  2. 2
    Quantifying tumor-infiltrating immune cells from transcriptomics data

    Quantifying tumor-infiltrating immune cells from transcriptomics data od Francesca Finotello, Zlatko Trajanoski

    Izdano 2018
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  3. 3
    Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology

    Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology od Francesca Finotello, Federica Eduati

    Izdano 2018
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  4. 4
    Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis

    Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis od Francesca Finotello, Barbara Di Camillo

    Izdano 2014
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  5. 5
    FunPat: function-based pattern analysis on RNA-seq time series data

    FunPat: function-based pattern analysis on RNA-seq time series data od Tiziana Sanavia, Francesca Finotello, Barbara Di Camillo

    Izdano 2015
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  6. 6
    Neoantigens Generated by Individual Mutations and Their Role in Cancer Immunity and Immunotherapy

    Neoantigens Generated by Individual Mutations and Their Role in Cancer Immunity and Immunotherapy od Mirjana Efremova, Francesca Finotello, Dietmar Rieder, Zlatko Trajanoski

    Izdano 2017
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  7. 7
    NeoFuse: predicting fusion neoantigens from RNA sequencing data

    NeoFuse: predicting fusion neoantigens from RNA sequencing data od Georgios Fotakis, Dietmar Rieder, Marlene Haider, Zlatko Trajanoski, Francesca Finotello

    Izdano 2019
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  8. 8
    TIminer: NGS data mining pipeline for cancer immunology and immunotherapy

    TIminer: NGS data mining pipeline for cancer immunology and immunotherapy od Elias Tappeiner, Francesca Finotello, Pornpimol Charoentong, Clemens Mayer, Dietmar Rieder, Zlatko Trajanoski

    Izdano 2017
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  9. 9
    Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data

    Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data od Gregor Sturm, Tamás Szabó, Georgios Fotakis, Marlene Haider, Dietmar Rieder, Zlatko Trajanoski, Francesca Finotello

    Izdano 2020
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  10. 10
    nextNEOpi: a comprehensive pipeline for computational neoantigen prediction

    nextNEOpi: a comprehensive pipeline for computational neoantigen prediction od Dietmar Rieder, Georgios Fotakis, Markus Außerhofer, René Geyeregger, Wolfgang Paster, Zlatko Trajanoski, Francesca Finotello

    Izdano 2021
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  11. 11
    Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade

    Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade od Pornpimol Charoentong, Francesca Finotello, Mihaela Angelova, Clemens Mayer, Mirjana Efremova, Dietmar Rieder, Hubert Hackl, Zlatko Trajanoski

    Izdano 2016
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  12. 12
    Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade

    Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade od Pornpimol Charoentong, Francesca Finotello, Mihaela Angelova, Clemens Mayer, Mirjana Efremova, Dietmar Rieder, Hubert Hackl, Zlatko Trajanoski

    Izdano 2017
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  13. 13
    Interpretable systems biomarkers predict response to immune-checkpoint inhibitors

    Interpretable systems biomarkers predict response to immune-checkpoint inhibitors od Óscar Lapuente-Santana, Maisa N.G. van Genderen, P.A.J. Hilbers, Francesca Finotello, Federica Eduati

    Izdano 2021
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  14. 14
    Reducing bias in RNA sequencing data: a novel approach to compute counts

    Reducing bias in RNA sequencing data: a novel approach to compute counts od Francesca Finotello, Enrico Lavezzo, Luca Bianco, Luisa Barzon, Paolo Emilio Mazzon, Paolo Fontana, Stefano Toppo, Barbara Di Camillo

    Izdano 2014
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  15. 15
    Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

    Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology od Gregor Sturm, Francesca Finotello, Florent Petitprez, Jitao David Zhang, Jan Baumbach, Wolf H. Fridman, Markus List, Tatsiana Aneichyk

    Izdano 2019
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  16. 16
    Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene

    Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene od Francesco Sambo, Francesca Finotello, Enrico Lavezzo, Giacomo Baruzzo, Giulia Masi, Elektra Peta, Marco Falda, Stefano Toppo, Luisa Barzon, Barbara Di Camillo

    Izdano 2018
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  17. 17
    Targeting immune checkpoints potentiates immunoediting and changes the dynamics of tumor evolution

    Targeting immune checkpoints potentiates immunoediting and changes the dynamics of tumor evolution od Mirjana Efremova, Dietmar Rieder, Victoria Klepsch, Pornpimol Charoentong, Francesca Finotello, Hubert Hackl, Natascha Hermann‐Kleiter, Martin Löwer, Gottfried Baier, Anne Krogsdam, Zlatko Trajanoski

    Izdano 2017
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  18. 18
    Deviations of the immune cell landscape between healthy liver and hepatocellular carcinoma

    Deviations of the immune cell landscape between healthy liver and hepatocellular carcinoma od Nataliya Rohr‐Udilova, Florian Klinglmüller, Rolf Schulte‐Hermann, Judith Stift, Merima Herac, Martina Salzmann, Francesca Finotello, Gerald Timelthaler, Georg Oberhuber, Matthias Pinter, Thomas Reiberger, Erika Jensen‐Jarolim, Robert Eferl, Michael Trauner

    Izdano 2018
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  19. 19
    CD39 Identifies the CD4+ Tumor-Specific T-cell Population in Human Cancer

    CD39 Identifies the CD4+ Tumor-Specific T-cell Population in Human Cancer od Kim E. Kortekaas, Saskia J. Santegoets, Gregor Sturm, Ilina Ehsan, Sylvia L. van Egmond, Francesca Finotello, Zlatko Trajanoski, Marij J.P. Welters, Mariëtte I.E. van Poelgeest, Sjoerd H. van der Burg

    Izdano 2020
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  20. 20
    Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group

    Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group od Leticia De Mattos‐Arruda, Miguél Vázquez, Francesca Finotello, Rosalba Lepore, Eduard Porta‐Pardo, Jasreet Hundal, Pep Amengual-Rigo, Charlotte K.Y. Ng, Alfonso Valencia, Jorge Carrillo, Timothy A. Chan, Vı́ctor Guallar, Nicholas McGranahan, Julià Blanco, Malachi Griffith

    Izdano 2020
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