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Francesca Finotello

Showing results (21-30 of 66) with videos related to

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Bioinformatics (Oxford, England)|November 23, 2019
NeoFuse: predicting fusion neoantigens from RNA sequencing dataGeorgios Fotakis, Dietmar Rieder, Marlene Haider, et al.
Frontiers in Oncology|October 12, 2020
Editorial: Multi-omic Data Integration in OncologyFrancesca Finotello, Enrica Calura, Davide Risso, et al.
Bioinformatics (Oxford, England)|September 20, 2022
SimBu: bias-aware simulation of bulk RNA-seq data with variable cell-type compositionAlexander Dietrich, Gregor Sturm, Lorenzo Merotto, et al.
Bioinformatics (Oxford, England)|June 22, 2017
TIminer: NGS data mining pipeline for cancer immunology and immunotherapyElias Tappeiner, Francesca Finotello, Pornpimol Charoentong, et al.
Bioinformatics (Oxford, England)|July 3, 2020
Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing dataGregor Sturm, Tamas Szabo, Georgios Fotakis, et al.
Patterns (New York, N.Y.)|August 25, 2021
Interpretable systems biomarkers predict response to immune-checkpoint inhibitorsÓscar Lapuente-Santana, Maisa van Genderen, Peter A J Hilbers, et al.
Bioinformatics (Oxford, England)|November 17, 2021
nextNEOpi: a comprehensive pipeline for computational neoantigen predictionDietmar Rieder, Georgios Fotakis, Markus Ausserhofer, et al.
Cell Reports|January 5, 2017
Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint BlockadePornpimol Charoentong, Francesca Finotello, Mihaela Angelova, et al.
BMC Bioinformatics|February 26, 2014
Reducing bias in RNA sequencing data: a novel approach to compute countsFrancesca Finotello, Enrico Lavezzo, Luca Bianco, et al.
Cell Systems|September 22, 2022
What are the current driving questions in immune repertoire research?Victor Greiff, Eline T Luning Prak, Tim O'Donnell, et al.
Pageof 7

Showing results (21-30 of 66) with videos related to

Sort By:
Pageof 7
Bioinformatics (Oxford, England)|November 23, 2019
NeoFuse: predicting fusion neoantigens from RNA sequencing dataGeorgios Fotakis, Dietmar Rieder, Marlene Haider, et al.
Frontiers in Oncology|October 12, 2020
Editorial: Multi-omic Data Integration in OncologyFrancesca Finotello, Enrica Calura, Davide Risso, et al.
Bioinformatics (Oxford, England)|September 20, 2022
SimBu: bias-aware simulation of bulk RNA-seq data with variable cell-type compositionAlexander Dietrich, Gregor Sturm, Lorenzo Merotto, et al.
Bioinformatics (Oxford, England)|June 22, 2017
TIminer: NGS data mining pipeline for cancer immunology and immunotherapyElias Tappeiner, Francesca Finotello, Pornpimol Charoentong, et al.
Bioinformatics (Oxford, England)|July 3, 2020
Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing dataGregor Sturm, Tamas Szabo, Georgios Fotakis, et al.
Patterns (New York, N.Y.)|August 25, 2021
Interpretable systems biomarkers predict response to immune-checkpoint inhibitorsÓscar Lapuente-Santana, Maisa van Genderen, Peter A J Hilbers, et al.
Bioinformatics (Oxford, England)|November 17, 2021
nextNEOpi: a comprehensive pipeline for computational neoantigen predictionDietmar Rieder, Georgios Fotakis, Markus Ausserhofer, et al.
Cell Reports|January 5, 2017
Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint BlockadePornpimol Charoentong, Francesca Finotello, Mihaela Angelova, et al.
BMC Bioinformatics|February 26, 2014
Reducing bias in RNA sequencing data: a novel approach to compute countsFrancesca Finotello, Enrico Lavezzo, Luca Bianco, et al.
Cell Systems|September 22, 2022
What are the current driving questions in immune repertoire research?Victor Greiff, Eline T Luning Prak, Tim O'Donnell, et al.
Pageof 7