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BMC Bioinformatics
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April 27, 2021
Advantages of using graph databases to explore chromatin conformation capture experiments
Daniele D'Agostino, Pietro Liò, Marco Aldinucci, et al.
STAR Protocols
|
January 5, 2024
Protocol for training MERGE: A federated multi-input neural network for COVID-19 prognosis
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
Biomed Research International
|
August 23, 2014
Sequence alignment tools: one parallel pattern to rule them all?
Claudia Misale, Giulio Ferrero, Massimo Torquati, et al.
Patterns (New York, N.Y.)
|
November 30, 2023
MERGE: A model for multi-input biomedical federated learning
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
Frontiers in Genetics
|
November 30, 2016
The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer
Fabio Tordini, Marco Aldinucci, Luciano Milanesi, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
December 10, 2022
Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow
Sandro G Contaldo, Luca Alessandri, Iacopo Colonnelli, et al.
Frontiers in Genetics
|
February 27, 2015
Integrating multi-omic features exploiting Chromosome Conformation Capture data
Ivan Merelli, Fabio Tordini, Maurizio Drocco, et al.
Minerva Cardiology and Angiology
|
August 2, 2021
Machine learning for cardiology
Yasir Arfat, Gianluca Mittone, Roberto Esposito, et al.
BMC Bioinformatics
|
February 11, 2017
PWHATSHAP: efficient haplotyping for future generation sequencing
Andrea Bracciali, Marco Aldinucci, Murray Patterson, et al.
Briefings in Bioinformatics
|
June 20, 2013
Parallel stochastic systems biology in the cloud
Marco Aldinucci, Massimo Torquati, Concetto Spampinato, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
BMC Bioinformatics
|
April 27, 2021
Advantages of using graph databases to explore chromatin conformation capture experiments
Daniele D'Agostino, Pietro Liò, Marco Aldinucci, et al.
STAR Protocols
|
January 5, 2024
Protocol for training MERGE: A federated multi-input neural network for COVID-19 prognosis
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
Biomed Research International
|
August 23, 2014
Sequence alignment tools: one parallel pattern to rule them all?
Claudia Misale, Giulio Ferrero, Massimo Torquati, et al.
Patterns (New York, N.Y.)
|
November 30, 2023
MERGE: A model for multi-input biomedical federated learning
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
Frontiers in Genetics
|
November 30, 2016
The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer
Fabio Tordini, Marco Aldinucci, Luciano Milanesi, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
December 10, 2022
Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow
Sandro G Contaldo, Luca Alessandri, Iacopo Colonnelli, et al.
Frontiers in Genetics
|
February 27, 2015
Integrating multi-omic features exploiting Chromosome Conformation Capture data
Ivan Merelli, Fabio Tordini, Maurizio Drocco, et al.
Minerva Cardiology and Angiology
|
August 2, 2021
Machine learning for cardiology
Yasir Arfat, Gianluca Mittone, Roberto Esposito, et al.
BMC Bioinformatics
|
February 11, 2017
PWHATSHAP: efficient haplotyping for future generation sequencing
Andrea Bracciali, Marco Aldinucci, Murray Patterson, et al.
Briefings in Bioinformatics
|
June 20, 2013
Parallel stochastic systems biology in the cloud
Marco Aldinucci, Massimo Torquati, Concetto Spampinato, et al.
Page
of 2