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Filippo Geraci

Showing results (1-10 of 19) with videos related to

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Bioinformatics (Oxford, England)|July 14, 2010
A comparison of several algorithms for the single individual SNP haplotyping reconstruction problemFilippo Geraci
Computers in Biology and Medicine|April 14, 2021
EZcount: An all-in-one software for microRNA expression quantification from NGS sequencing dataFilippo Geraci, Giovanni Manzini
Computer Methods and Programs in Biomedicine|June 8, 2024
DeClUt: Decluttering differentially expressed genes through clustering of their expression profilesMario Zanfardino, Monica Franzese, Filippo Geraci
BMC Bioinformatics|February 11, 2017
Protein complex prediction for large protein protein interaction networks with the Core&Peel methodMarco Pellegrini, Miriam Baglioni, Filippo Geraci
Frontiers in Genetics|April 8, 2020
Editorial: RNA-Seq Analysis: Methods, Applications and ChallengesFilippo Geraci, Indrajit Saha, Monica Bianchini
Physical Review. E|October 21, 2022
Weighted simplicial complexes and their representation power of higher-order network data and topologyFederica Baccini, Filippo Geraci, Ginestra Bianconi
Nucleic Acids Research|May 15, 2008
AMIC@: All MIcroarray Clusterings @ onceFilippo Geraci, Marco Pellegrini, M Elena Renda
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 8, 2008
SpeedHap: an accurate heuristic for the single individual SNP haplotyping problem with many gaps, high reading error rate and low coverageLoredana M Genovese, Filippo Geraci, Marco Pellegrini
Bioinformatics (Oxford, England)|August 31, 2018
Dot2dot: accurate whole-genome tandem repeats discoveryLoredana M Genovese, Marco M Mosca, Marco Pellegrini, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 16, 2009
K-Boost: a scalable algorithm for high-quality clustering of microarray gene expression dataFilippo Geraci, Mauro Leoncini, Manuela Montangero, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|July 14, 2010
A comparison of several algorithms for the single individual SNP haplotyping reconstruction problemFilippo Geraci
Computers in Biology and Medicine|April 14, 2021
EZcount: An all-in-one software for microRNA expression quantification from NGS sequencing dataFilippo Geraci, Giovanni Manzini
Computer Methods and Programs in Biomedicine|June 8, 2024
DeClUt: Decluttering differentially expressed genes through clustering of their expression profilesMario Zanfardino, Monica Franzese, Filippo Geraci
BMC Bioinformatics|February 11, 2017
Protein complex prediction for large protein protein interaction networks with the Core&Peel methodMarco Pellegrini, Miriam Baglioni, Filippo Geraci
Frontiers in Genetics|April 8, 2020
Editorial: RNA-Seq Analysis: Methods, Applications and ChallengesFilippo Geraci, Indrajit Saha, Monica Bianchini
Physical Review. E|October 21, 2022
Weighted simplicial complexes and their representation power of higher-order network data and topologyFederica Baccini, Filippo Geraci, Ginestra Bianconi
Nucleic Acids Research|May 15, 2008
AMIC@: All MIcroarray Clusterings @ onceFilippo Geraci, Marco Pellegrini, M Elena Renda
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 8, 2008
SpeedHap: an accurate heuristic for the single individual SNP haplotyping problem with many gaps, high reading error rate and low coverageLoredana M Genovese, Filippo Geraci, Marco Pellegrini
Bioinformatics (Oxford, England)|August 31, 2018
Dot2dot: accurate whole-genome tandem repeats discoveryLoredana M Genovese, Marco M Mosca, Marco Pellegrini, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 16, 2009
K-Boost: a scalable algorithm for high-quality clustering of microarray gene expression dataFilippo Geraci, Mauro Leoncini, Manuela Montangero, et al.
Pageof 2