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Fabrizio Costa

Showing results (1-10 of 65) with videos related to

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Bioinformatics (Oxford, England)|May 6, 2017
An efficient graph kernel method for non-coding RNA functional predictionNicolò Navarin, Fabrizio Costa
Journal of Chemical Information and Modeling|August 28, 2010
Molecular graph augmentation with rings and functional groupsKurt De Grave, Fabrizio Costa
Nature Communications|September 13, 2018
GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledgeFabrizio Costa, Dominic Grün, Rolf Backofen
Bioinformatics (Oxford, England)|July 2, 2013
A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domainsKousik Kundu, Fabrizio Costa, Rolf Backofen
Bioinformatics (Oxford, England)|June 7, 2007
Classification of small molecules by two- and three-dimensional decomposition kernelsAlessio Ceroni, Fabrizio Costa, Paolo Frasconi
Journal of Experimental Botany|July 30, 2015
Genome investigation suggests MdSHN3, an APETALA2-domain transcription factor gene, to be a positive regulator of apple fruit cuticle formation and an inhibitor of russet developmentJustin Lashbrooke, Asaph Aharoni, Fabrizio Costa
BMC Plant Biology|November 12, 2017
What makes for sound science?Fabrizio Costa, Grant Cramer, E Jean Finnegan
Frontiers in Plant Science|May 1, 2024
Editorial: Omics technologies and fruit postharvest qualityIrene Romero, Ana Margarida Fortes, Fabrizio Costa
Cognition|May 24, 2003
Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networksPatrick Sturt, Fabrizio Costa, Vincenzo Lombardo, et al.
Bioinformatics (Oxford, England)|May 30, 2014
MoDPepInt: an interactive web server for prediction of modular domain-peptide interactionsKousik Kundu, Martin Mann, Fabrizio Costa, et al.
Pageof 7

Showing results (1-10 of 65) with videos related to

Sort By:
Pageof 7
Bioinformatics (Oxford, England)|May 6, 2017
An efficient graph kernel method for non-coding RNA functional predictionNicolò Navarin, Fabrizio Costa
Journal of Chemical Information and Modeling|August 28, 2010
Molecular graph augmentation with rings and functional groupsKurt De Grave, Fabrizio Costa
Nature Communications|September 13, 2018
GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledgeFabrizio Costa, Dominic Grün, Rolf Backofen
Bioinformatics (Oxford, England)|July 2, 2013
A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domainsKousik Kundu, Fabrizio Costa, Rolf Backofen
Bioinformatics (Oxford, England)|June 7, 2007
Classification of small molecules by two- and three-dimensional decomposition kernelsAlessio Ceroni, Fabrizio Costa, Paolo Frasconi
Journal of Experimental Botany|July 30, 2015
Genome investigation suggests MdSHN3, an APETALA2-domain transcription factor gene, to be a positive regulator of apple fruit cuticle formation and an inhibitor of russet developmentJustin Lashbrooke, Asaph Aharoni, Fabrizio Costa
BMC Plant Biology|November 12, 2017
What makes for sound science?Fabrizio Costa, Grant Cramer, E Jean Finnegan
Frontiers in Plant Science|May 1, 2024
Editorial: Omics technologies and fruit postharvest qualityIrene Romero, Ana Margarida Fortes, Fabrizio Costa
Cognition|May 24, 2003
Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networksPatrick Sturt, Fabrizio Costa, Vincenzo Lombardo, et al.
Bioinformatics (Oxford, England)|May 30, 2014
MoDPepInt: an interactive web server for prediction of modular domain-peptide interactionsKousik Kundu, Martin Mann, Fabrizio Costa, et al.
Pageof 7