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Edi Prifti

Showing results (1-10 of 59) with videos related to

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Microbial Genomics|April 17, 2024
Deep learning methods in metagenomics: a reviewGaspar Roy, Edi Prifti, Eugeni Belda, et al.
Bioinformatics (Oxford, England)|October 21, 2010
Interactional and functional centrality in transcriptional co-expression networksEdi Prifti, Jean-Daniel Zucker, Karine Clément, et al.
Bioinformatics (Oxford, England)|September 19, 2008
FunNet: an integrative tool for exploring transcriptional interactionsEdi Prifti, Jean-Daniel Zucker, Karine Clement, et al.
BMC Bioinformatics|January 21, 2017
Spectral consensus strategy for accurate reconstruction of large biological networksSéverine Affeldt, Nataliya Sokolovska, Edi Prifti, et al.
Microbial Genomics|January 13, 2025
Impact of simulation and reference catalogues on the evaluation of taxonomic profiling pipelinesVadim Puller, Florian Plaza Oñate, Edi Prifti, et al.
Applications in Plant Sciences|May 1, 2025
Enhancing plant morphological trait identification in herbarium collections through deep learning-based segmentationHanane Ariouat, Youcef Sklab, Edi Prifti, et al.
Bioinformatics (Oxford, England)|May 7, 2026
StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolutionBaptiste Hennecart, Eugeni Belda, Raynald de Lahondès, et al.
Journal of Electrocardiology|June 23, 2023
Automatic digitization of paper electrocardiograms - A systematic reviewAlex Lence, Fabrice Extramiana, Ahmad Fall, et al.
Nature|September 19, 2015
Qin et al. replyNan Qin, Emmanuelle Le Chatelier, Jing Guo, et al.
Genes|October 23, 2021
Exploring Semi-Quantitative Metagenomic Studies Using Oxford Nanopore Sequencing: A Computational and Experimental ProtocolRohia Alili, Eugeni Belda, Phuong Le, et al.
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Microbial Genomics|April 17, 2024
Deep learning methods in metagenomics: a reviewGaspar Roy, Edi Prifti, Eugeni Belda, et al.
Bioinformatics (Oxford, England)|October 21, 2010
Interactional and functional centrality in transcriptional co-expression networksEdi Prifti, Jean-Daniel Zucker, Karine Clément, et al.
Bioinformatics (Oxford, England)|September 19, 2008
FunNet: an integrative tool for exploring transcriptional interactionsEdi Prifti, Jean-Daniel Zucker, Karine Clement, et al.
BMC Bioinformatics|January 21, 2017
Spectral consensus strategy for accurate reconstruction of large biological networksSéverine Affeldt, Nataliya Sokolovska, Edi Prifti, et al.
Microbial Genomics|January 13, 2025
Impact of simulation and reference catalogues on the evaluation of taxonomic profiling pipelinesVadim Puller, Florian Plaza Oñate, Edi Prifti, et al.
Applications in Plant Sciences|May 1, 2025
Enhancing plant morphological trait identification in herbarium collections through deep learning-based segmentationHanane Ariouat, Youcef Sklab, Edi Prifti, et al.
Bioinformatics (Oxford, England)|May 7, 2026
StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolutionBaptiste Hennecart, Eugeni Belda, Raynald de Lahondès, et al.
Journal of Electrocardiology|June 23, 2023
Automatic digitization of paper electrocardiograms - A systematic reviewAlex Lence, Fabrice Extramiana, Ahmad Fall, et al.
Nature|September 19, 2015
Qin et al. replyNan Qin, Emmanuelle Le Chatelier, Jing Guo, et al.
Genes|October 23, 2021
Exploring Semi-Quantitative Metagenomic Studies Using Oxford Nanopore Sequencing: A Computational and Experimental ProtocolRohia Alili, Eugeni Belda, Phuong Le, et al.
Pageof 6