Hasil Pencarian - Michele Ceccarelli

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  1. 1
    La tracciabilità della filiera vitivinicola: dal sistema di cantina alla gestione completa dell’azienda vitivinicola con strumenti GIS-Oriented

    La tracciabilità della filiera vitivinicola: dal sistema di cantina alla gestione completa dell’azienda vitivinicola con strumenti GIS-Oriented oleh Luigi Rosadini, Michele Ceccarelli

    Diterbitkan 2013-03-01
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  2. 2
    Pan-cancer onco-signatures reveal a novel mitochondrial subtype of luminal breast cancer with specific regulators

    Pan-cancer onco-signatures reveal a novel mitochondrial subtype of luminal breast cancer with specific regulators oleh Ines Simeone, Michele Ceccarelli

    Diterbitkan 2023-01-01
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  3. 3
    Machine learning prediction of oncology drug targets based on protein and network properties

    Machine learning prediction of oncology drug targets based on protein and network properties oleh Zoltán Dezső, Michele Ceccarelli

    Diterbitkan 2020-03-01
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  4. 4
    La tracciabilità della filiera vitivinicola: dal sistema di cantina alla gestione completa dell’azienda vitivinicola con strumenti GIS-Oriented

    La tracciabilità della filiera vitivinicola: dal sistema di cantina alla gestione completa dell’azienda vitivinicola con strumenti GIS-Oriented oleh Luigi Rosadini, Michele Ceccarelli

    Diterbitkan 2013-03-01
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  5. 5
    Automated identification and location analysis of marked stem cells colonies in optical microscopy images.

    Automated identification and location analysis of marked stem cells colonies in optical microscopy images. oleh Vincenzo Paduano, Daniela Tagliaferri, Geppino Falco, Michele Ceccarelli

    Diterbitkan 2013-01-01
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  6. 6
    Pancancer network analysis reveals key master regulators for cancer invasiveness

    Pancancer network analysis reveals key master regulators for cancer invasiveness oleh Mahesh Jethalia, Siddhi P. Jani, Michele Ceccarelli, Raghvendra Mall

    Diterbitkan 2023-08-01
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  7. 7
    Deep learning predicts short non-coding RNA functions from only raw sequence data.

    Deep learning predicts short non-coding RNA functions from only raw sequence data. oleh Teresa Maria Rosaria Noviello, Francesco Ceccarelli, Michele Ceccarelli, Luigi Cerulo

    Diterbitkan 2020-11-01
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  8. 8
    The epitranscriptome of high-grade gliomas: a promising therapeutic target with implications from the tumor microenvironment to endogenous retroviruses

    The epitranscriptome of high-grade gliomas: a promising therapeutic target with implications from the tumor microenvironment to endogenous retroviruses oleh Christian K. Ramsoomair, Michele Ceccarelli, John D. Heiss, Ashish H. Shah

    Diterbitkan 2023-12-01
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  9. 9
    A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data

    A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data oleh Antonio De Falco, Francesca Caruso, Xiao-Dong Su, Antonio Iavarone, Michele Ceccarelli

    Diterbitkan 2023-02-01
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  10. 10
    TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]

    TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] oleh Tiago C. Silva, Antonio Colaprico, Catharina Olsen, Fulvio D'Angelo, Gianluca Bontempi, Michele Ceccarelli, Houtan Noushmehr

    Diterbitkan 2016-12-01
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  11. 11
    Immune Escape Mechanisms in Colorectal Cancer Pathogenesis and Liver Metastasis

    Immune Escape Mechanisms in Colorectal Cancer Pathogenesis and Liver Metastasis oleh Massimo Pancione, Guido Giordano, Andrea Remo, Antonio Febbraro, Lina Sabatino, Erminia Manfrin, Michele Ceccarelli, Vittorio Colantuoni

    Diterbitkan 2014-01-01
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  12. 12
    Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions

    Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions oleh Maria Claudia Costa, Claudia Angelini, Monica Franzese, Concetta Iside, Marco Salvatore, Luigi Laezza, Francesco Napolitano, Michele Ceccarelli

    Diterbitkan 2024-03-01
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  13. 13
    Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning

    Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning oleh R. Tyler McLaughlin, Maansi Asthana, Marc Di Meo, Michele Ceccarelli, Howard J. Jacob, David L. Masica

    Diterbitkan 2023-01-01
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  14. 14
    Detection of long non–coding RNA homology, a comparative study on alignment and alignment–free metrics

    Detection of long non–coding RNA homology, a comparative study on alignment and alignment–free metrics oleh Teresa M. R. Noviello, Antonella Di Liddo, Giovanna M. Ventola, Antonietta Spagnuolo, Salvatore D’Aniello, Michele Ceccarelli, Luigi Cerulo

    Diterbitkan 2018-11-01
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  15. 15
    Identification of a novel gene signature of ES cells self-renewal fluctuation through system-wide analysis.

    Identification of a novel gene signature of ES cells self-renewal fluctuation through system-wide analysis. oleh Luigi Cerulo, Daniela Tagliaferri, Pina Marotta, Pietro Zoppoli, Filomena Russo, Claudia Mazio, Mario DeFelice, Michele Ceccarelli, Geppino Falco

    Diterbitkan 2014-01-01
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  16. 16
    Retinoic Acid Specifically Enhances Embryonic Stem Cell Metastate Marked by Zscan4.

    Retinoic Acid Specifically Enhances Embryonic Stem Cell Metastate Marked by Zscan4. oleh Daniela Tagliaferri, Maria Teresa De Angelis, Nicola Antonino Russo, Maria Marotta, Michele Ceccarelli, Luigi Del Vecchio, Mario De Felice, Geppino Falco

    Diterbitkan 2016-01-01
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  17. 17
    Ensemble of gene signatures identifies novel biomarkers in colorectal cancer activated through PPARγ and TNFα signaling.

    Ensemble of gene signatures identifies novel biomarkers in colorectal cancer activated through PPARγ and TNFα signaling. oleh Stefano Maria Pagnotta, Carmelo Laudanna, Massimo Pancione, Lina Sabatino, Carolina Votino, Andrea Remo, Luigi Cerulo, Pietro Zoppoli, Erminia Manfrin, Vittorio Colantuoni, Michele Ceccarelli

    Diterbitkan 2013-01-01
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  18. 18
    "Stockpile" of Slight Transcriptomic Changes Determines the Indirect Genotoxicity of Low-Dose BPA in Thyroid Cells.

    "Stockpile" of Slight Transcriptomic Changes Determines the Indirect Genotoxicity of Low-Dose BPA in Thyroid Cells. oleh Immacolata Porreca, Luisa Ulloa Severino, Fulvio D'Angelo, Danila Cuomo, Michele Ceccarelli, Lucia Altucci, Elena Amendola, Angela Nebbioso, Massimo Mallardo, Mario De Felice, Concetta Ambrosino

    Diterbitkan 2016-01-01
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  19. 19
    Specific gene expression signatures induced by the multiple oncogenic alterations that occur within the PTEN/PI3K/AKT pathway in lung cancer.

    Specific gene expression signatures induced by the multiple oncogenic alterations that occur within the PTEN/PI3K/AKT pathway in lung cancer. oleh Carmela De Marco, Carmelo Laudanna, Nicola Rinaldo, Duarte Mendes Oliveira, Maria Ravo, Alessandro Weisz, Michele Ceccarelli, Elvira Caira, Antonia Rizzuto, Pietro Zoppoli, Donatella Malanga, Giuseppe Viglietto

    Diterbitkan 2017-01-01
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  20. 20
    Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors

    Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors oleh Rosalyn W. Sayaman, Mohamad Saad, Carolina Heimann, Donglei Hu, Khalid Kunji, Jessica Roelands, Denise M. Wolf, Scott Huntsman, Michele Ceccarelli, Vésteinn Thorsson, Elad Ziv, Davide Bedognetti

    Diterbitkan 2022-12-01
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