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Davide Cangelosi

Showing results (1-10 of 50) with videos related to

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Biodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide Cangelosi
Cancers|February 25, 2023
A Simple, Test-Based Method to Control the Overestimation Bias in the Analysis of Potential Prognostic Tumour MarkersMarzia Ognibene, Annalisa Pezzolo, Roberto Cavanna, et al.
European Journal of Cancer (Oxford, England : 1990)|September 14, 2023
Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome predictionDavide Chicco, Riccardo Haupt, Alberto Garaventa, et al.
Scientific Reports|July 2, 2026
Automated tracking of the brown algal parasite Eurychasma dicksonii with deep learningBehnoud Shafiezadeh Kenari, Shayan Alvansazyazdi, Davide Cangelosi, et al.
Pediatric Blood & Cancer|June 2, 2022
E2F3 gene expression is a potential negative prognostic marker for localised and MYCN not-amplified neuroblastoma: Results of in silico analysis of 786 samplesMarzia Ognibene, Davide Cangelosi, Stefania Sorrentino, et al.
Cancers|November 27, 2021
High Grade of Amplification of Six Regions on Chromosome 2p in a Neuroblastoma Patient with Very Poor Outcome: The Putative New Oncogene <i>TSSC1</i>Marzia Ognibene, Loredana Amoroso, Fraia Melchionda, et al.
Cancers|July 2, 2021
Connectivity Map Analysis Indicates PI3K/Akt/mTOR Inhibitors as Potential Anti-Hypoxia Drugs in NeuroblastomaPaolo Uva, Maria Carla Bosco, Alessandra Eva, et al.
Cancers|April 13, 2023
Multiple Genes with Potential Tumor Suppressive Activity Are Present on Chromosome 10q Loss in Neuroblastoma and Are Associated with Poor PrognosisMarzia Ognibene, Patrizia De Marco, Loredana Amoroso, et al.
Oncotarget|June 23, 2018
Favorable prognostic role of tropomodulins in neuroblastomaPaola Bettinsoli, Giulia Ferrari-Toninelli, Sara Anna Bonini, et al.
BMC Bioinformatics|August 1, 2014
Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patientsDavide Cangelosi, Marco Muselli, Stefano Parodi, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Biodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide Cangelosi
Cancers|February 25, 2023
A Simple, Test-Based Method to Control the Overestimation Bias in the Analysis of Potential Prognostic Tumour MarkersMarzia Ognibene, Annalisa Pezzolo, Roberto Cavanna, et al.
European Journal of Cancer (Oxford, England : 1990)|September 14, 2023
Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome predictionDavide Chicco, Riccardo Haupt, Alberto Garaventa, et al.
Scientific Reports|July 2, 2026
Automated tracking of the brown algal parasite Eurychasma dicksonii with deep learningBehnoud Shafiezadeh Kenari, Shayan Alvansazyazdi, Davide Cangelosi, et al.
Pediatric Blood & Cancer|June 2, 2022
E2F3 gene expression is a potential negative prognostic marker for localised and MYCN not-amplified neuroblastoma: Results of in silico analysis of 786 samplesMarzia Ognibene, Davide Cangelosi, Stefania Sorrentino, et al.
Cancers|November 27, 2021
High Grade of Amplification of Six Regions on Chromosome 2p in a Neuroblastoma Patient with Very Poor Outcome: The Putative New Oncogene <i>TSSC1</i>Marzia Ognibene, Loredana Amoroso, Fraia Melchionda, et al.
Cancers|July 2, 2021
Connectivity Map Analysis Indicates PI3K/Akt/mTOR Inhibitors as Potential Anti-Hypoxia Drugs in NeuroblastomaPaolo Uva, Maria Carla Bosco, Alessandra Eva, et al.
Cancers|April 13, 2023
Multiple Genes with Potential Tumor Suppressive Activity Are Present on Chromosome 10q Loss in Neuroblastoma and Are Associated with Poor PrognosisMarzia Ognibene, Patrizia De Marco, Loredana Amoroso, et al.
Oncotarget|June 23, 2018
Favorable prognostic role of tropomodulins in neuroblastomaPaola Bettinsoli, Giulia Ferrari-Toninelli, Sara Anna Bonini, et al.
BMC Bioinformatics|August 1, 2014
Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patientsDavide Cangelosi, Marco Muselli, Stefano Parodi, et al.
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