MARTINI, LORENZO
MARTINI, LORENZO
Dipartimento di Automatica e Informatica
070881
Cross-omic Transcription Factors meta-analysis: an insight on TFs accessibility and expression correlation
2024 Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states
2024 Martini, Lorenzo; Amprimo, Gianluca; Di Carlo, Stefano; Olmo, Gabriella; Ferraris, Claudia; Savino, Alessandro; Bardini, Roberta
GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix Construction
2023 Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; 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 |
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Cross-omic Transcription Factors meta-analysis: an insight on TFs accessibility and expression correlation / Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano. - In: GENES. - ISSN 2073-4425. - ELETTRONICO. - 15:3(2024), pp. 1-16. [10.3390/genes15030268] | 1-gen-2024 | Martini, LorenzoBardini, RobertaSavino, AlessandroDi Carlo, Stefano | genes-15-00268.pdf |
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states / Martini, Lorenzo; Amprimo, Gianluca; Di Carlo, Stefano; Olmo, Gabriella; Ferraris, Claudia; Savino, Alessandro; Bardini, Roberta. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 168:(2024), pp. 1-15. [10.1016/j.compbiomed.2023.107783] | 1-gen-2024 | Martini, LorenzoAmprimo, GianlucaDi Carlo, StefanoOlmo, GabriellaSavino, AlessandroBardini, Roberta + | 1-s2.0-S0010482523012489-main.pdf |
GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix Construction / Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; DI CARLO, Stefano. - In: GENES. - ISSN 2073-4425. - ELETTRONICO. - 14:1(2023). [10.3390/genes14010115] | 1-gen-2023 | Lorenzo MartiniRoberta BardiniAlessandro SavinoStefano Di Carlo | genes-14-00115.pdf |
GRAIGH: Gene Regulation accessibility integrating GeneHancer database / Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano. - ELETTRONICO. - (2023), pp. 343-348. (Intervento presentato al convegno 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) tenutosi a Istanbul (Turkey) nel 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. (Intervento presentato al convegno 10th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2023) tenutosi a Meloneras, Gran Canaria (ESP) nel 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. (Intervento presentato al convegno International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) 2022 tenutosi a Gran Canaria nel 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. (Intervento presentato al convegno 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) tenutosi a Las Vegas (USA) nel 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. (Intervento presentato al convegno 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) tenutosi a Houston (USA) nel 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 |