Archivio Istituzionale della RicercaMARTINI, LORENZO
MARTINI, LORENZO
Dipartimento di Automatica e Informatica
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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.012 secondi).
Spike Train Scalograms (STS): a Deep Learning Classification Pipeline for Neuronal Cell Types
2025 Amprimo, Gianluca; Martini, Lorenzo; Bilir, Begum; Bardini, Roberta; Savino, Alessandro; Olmo, Gabriella; Di Carlo, Stefano
GRAIGH: Gene Regulation accessibility integrating GeneHancer database
2023 Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano
Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM
2023 Martini, L.; Bardini, R.; Savino, A.; Di Carlo, S.
GAGAM: A Genomic Annotation-Based Enrichment of scATAC-seq Data for Gene Activity Matrix
2022 Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; DI CARLO, Stefano
High-resolution sample size enrichment of single-cell multi-modal low-throughput Patch-seq datasets
2022 Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano
Meta-Analysis of cortical inhibitory interneurons markers landscape and their performances in scRNA-seq studies.
2021 Martini, Lorenzo; Bardini, Roberta; DI CARLO, Stefano
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Spike Train Scalograms (STS): a Deep Learning Classification Pipeline for Neuronal Cell Types / Amprimo, Gianluca; Martini, Lorenzo; Bilir, Begum; Bardini, Roberta; Savino, Alessandro; Olmo, Gabriella; Di Carlo, Stefano. - ELETTRONICO. - 2025:(2025), pp. 1-7. ( 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Copenhagen (DNK) 14-18 July 2025) [10.1109/embc58623.2025.11252661]. | 1-gen-2025 | Amprimo, GianlucaMartini, LorenzoBardini, RobertaSavino, AlessandroOlmo, GabriellaDi Carlo, Stefano + | Spike_Train_Scalograms_STS_a_Deep_Learning_Classification_Pipeline_for_Neuronal_Cell_Types.pdf; Spike_Train_Scalograms_STS.pdf |
| GRAIGH: Gene Regulation accessibility integrating GeneHancer database / Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano. - ELETTRONICO. - (2023), pp. 343-348. ( 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Istanbul (Turkey) Dec. 5-8, 2023) [10.1109/BIBM58861.2023.10385417]. | 1-gen-2023 | Martini, LorenzoBardini, RobertaSavino, AlessandroDi Carlo, Stefano | GRAIGH_Gene_Regulation_accessibility_integrating_GeneHancer_database.pdf; Paper___BIBM_2023___GRAIGH (3).pdf |
| Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM / Martini, L.; Bardini, R.; Savino, A.; Di Carlo, S.. - ELETTRONICO. - 13920:(2023), pp. 193-207. ( 10th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2023) Meloneras, Gran Canaria (ESP) 12-14 July 2023) [10.1007/978-3-031-34960-7_14]. | 1-gen-2023 | Martini L.Bardini R.Savino A.Di Carlo S. | 978-3-031-34960-7_14.pdf; IWBBIO23-MAGA.pdf |
| GAGAM: A Genomic Annotation-Based Enrichment of scATAC-seq Data for Gene Activity Matrix / Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; DI CARLO, Stefano. - ELETTRONICO. - 13347:(2022), pp. 18-32. ( International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) 2022 Gran Canaria Jun. 27-30, 2022) [10.1007/978-3-031-07802-6_2]. | 1-gen-2022 | Lorenzo MartiniRoberta BardiniAlessandro SavinoStefano Di Carlo | Martini2022_Chapter_GAGAMAGenomicAnnotation-BasedE.pdf; IWBBIO_2022___Single_Cell (2).pdf |
| High-resolution sample size enrichment of single-cell multi-modal low-throughput Patch-seq datasets / Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano. - ELETTRONICO. - (2022), pp. 2334-2341. ( 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Las Vegas (USA) Dec. 6-8, 2022) [10.1109/BIBM55620.2022.9995529]. | 1-gen-2022 | Martini, LorenzoBardini, RobertaSavino, AlessandroDi Carlo, Stefano | High-resolution_sample_size_enrichment_of_single-cell_multi-modal_low-throughput_Patch-seq_datasets.pdf; 2022___IEEE_BIBM___Number_cells_enrichment (1).pdf |
| Meta-Analysis of cortical inhibitory interneurons markers landscape and their performances in scRNA-seq studies / Martini, Lorenzo; Bardini, Roberta; DI CARLO, Stefano. - ELETTRONICO. - (2021), pp. 253-258. ( 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Houston (USA) Dec. 9-12, 2021) [10.1109/bibm52615.2021.9669888]. | 1-gen-2021 | Lorenzo MartiniRoberta BardiniStefano Di Carlo | 2021___IEE_BIBM.pdf; Meta-Analysis_of_cortical_inhibitory_interneurons_markers_landscape_and_their_performances_in_scRNA-seq_studies..pdf |