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International Journal of Molecular Sciences
|
December 10, 2021
Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis
Luca Alessandri, Maria Luisa Ratto, Sandro Gepiro Contaldo, et al.
International Journal of Molecular Sciences
|
January 11, 2024
Tamoxifen Activates Transcription Factor EB and Triggers Protective Autophagy in Breast Cancer Cells by Inducing Lysosomal Calcium Release: A Gateway to the Onset of Endocrine Resistance
Cecilia Boretto, Chiara Actis, Pawan Faris, et al.
BMC Bioinformatics
|
September 17, 2020
A computational framework for modeling and studying pertussis epidemiology and vaccination
Paolo Castagno, Simone Pernice, Gianni Ghetti, et al.
BMC Infectious Diseases
|
October 29, 2020
Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region
Simone Pernice, Paolo Castagno, Linda Marcotulli, et al.
BMC Bioinformatics
|
October 28, 2018
Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines
Neha Kulkarni, Luca Alessandrì, Riccardo Panero, et al.
Scientific Data
|
February 2, 2024
A single cell RNAseq benchmark experiment embedding "controlled" cancer heterogeneity
Maddalena Arigoni, Maria Luisa Ratto, Federica Riccardo, et al.
BMC Bioinformatics
|
December 14, 2020
Computational modeling of the immune response in multiple sclerosis using epimod framework
Simone Pernice, Laura Follia, Alessandro Maglione, et al.
BMC Bioinformatics
|
November 25, 2017
HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data
Marco Beccuti, Elisa Genuardi, Greta Romano, et al.
BMC Systems Biology
|
June 9, 2015
A versatile mathematical work-flow to explore how Cancer Stem Cell fate influences tumor progression
Chiara Fornari, Gianfranco Balbo, Sami M Halawani, et al.
NPJ Systems Biology and Applications
|
January 6, 2021
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining
Luca Alessandri, Francesca Cordero, Marco Beccuti, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 47) with videos related to
Sort By:
Page
of 5
International Journal of Molecular Sciences
|
December 10, 2021
Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis
Luca Alessandri, Maria Luisa Ratto, Sandro Gepiro Contaldo, et al.
International Journal of Molecular Sciences
|
January 11, 2024
Tamoxifen Activates Transcription Factor EB and Triggers Protective Autophagy in Breast Cancer Cells by Inducing Lysosomal Calcium Release: A Gateway to the Onset of Endocrine Resistance
Cecilia Boretto, Chiara Actis, Pawan Faris, et al.
BMC Bioinformatics
|
September 17, 2020
A computational framework for modeling and studying pertussis epidemiology and vaccination
Paolo Castagno, Simone Pernice, Gianni Ghetti, et al.
BMC Infectious Diseases
|
October 29, 2020
Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region
Simone Pernice, Paolo Castagno, Linda Marcotulli, et al.
BMC Bioinformatics
|
October 28, 2018
Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines
Neha Kulkarni, Luca Alessandrì, Riccardo Panero, et al.
Scientific Data
|
February 2, 2024
A single cell RNAseq benchmark experiment embedding "controlled" cancer heterogeneity
Maddalena Arigoni, Maria Luisa Ratto, Federica Riccardo, et al.
BMC Bioinformatics
|
December 14, 2020
Computational modeling of the immune response in multiple sclerosis using epimod framework
Simone Pernice, Laura Follia, Alessandro Maglione, et al.
BMC Bioinformatics
|
November 25, 2017
HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data
Marco Beccuti, Elisa Genuardi, Greta Romano, et al.
BMC Systems Biology
|
June 9, 2015
A versatile mathematical work-flow to explore how Cancer Stem Cell fate influences tumor progression
Chiara Fornari, Gianfranco Balbo, Sami M Halawani, et al.
NPJ Systems Biology and Applications
|
January 6, 2021
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining
Luca Alessandri, Francesca Cordero, Marco Beccuti, et al.
Page
of 5