Хайлтын үр дүнгүүд - Barbara Di Camillo

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  1. 1
    Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis

    Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis -н Francesca Finotello, Barbara Di Camillo

    Хэвлэсэн 2014
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  2. 2
    FunPat: function-based pattern analysis on RNA-seq time series data

    FunPat: function-based pattern analysis on RNA-seq time series data -н Tiziana Sanavia, Francesca Finotello, Barbara Di Camillo

    Хэвлэсэн 2015
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    Artigo
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  3. 3
    SPARSim single cell: a count data simulator for scRNA-seq data

    SPARSim single cell: a count data simulator for scRNA-seq data -н Giacomo Baruzzo, Ilaria Patuzzi, Barbara Di Camillo

    Хэвлэсэн 2019
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    Artigo
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  4. 4
    Investigating differential abundance methods in microbiome data: A benchmark study

    Investigating differential abundance methods in microbiome data: A benchmark study -н Marco Cappellato, Giacomo Baruzzo, Barbara Di Camillo

    Хэвлэсэн 2022
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  5. 5
    Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods

    Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods -н Alessandra Dal Molin, Giacomo Baruzzo, Barbara Di Camillo

    Хэвлэсэн 2017
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    Artigo
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  6. 6
    Better cardiovascular outcomes of type 2 diabetic patients treated with GLP-1 receptor agonists versus DPP-4 inhibitors in clinical practice

    Better cardiovascular outcomes of type 2 diabetic patients treated with GLP-1 receptor agonists versus DPP-4 inhibitors in clinical practice -н Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Lara Tramontan, Angelo Avogaro, Gian Paolo Fadini

    Хэвлэсэн 2020
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    Artigo
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  7. 7
    Cardiovascular outcomes of type 2 diabetic patients treated with SGLT-2 inhibitors versus GLP-1 receptor agonists in real-life

    Cardiovascular outcomes of type 2 diabetic patients treated with SGLT-2 inhibitors versus GLP-1 receptor agonists in real-life -н Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Lorenzo Gubian, Angelo Avogaro, Gian Paolo Fadini

    Хэвлэсэн 2020
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    Artigo
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  8. 8
    Deep learning methods to predict amyotrophic lateral sclerosis disease progression

    Deep learning methods to predict amyotrophic lateral sclerosis disease progression -н Corrado Pancotti, Giovanni Birolo, Cesare Rollo, Tiziana Sanavia, Barbara Di Camillo, Umberto Manera, Adriano Chiò, Piero Fariselli

    Хэвлэсэн 2022
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    Artigo
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  9. 9
    Reducing bias in RNA sequencing data: a novel approach to compute counts

    Reducing bias in RNA sequencing data: a novel approach to compute counts -н Francesca Finotello, Enrico Lavezzo, Luca Bianco, Luisa Barzon, Paolo Emilio Mazzon, Paolo Fontana, Stefano Toppo, Barbara Di Camillo

    Хэвлэсэн 2014
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    Artigo
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  10. 10
    Simulation-based comprehensive benchmarking of RNA-seq aligners

    Simulation-based comprehensive benchmarking of RNA-seq aligners -н Giacomo Baruzzo, Katharina E. Hayer, Eun Ji Kim, Barbara Di Camillo, Garret A. FitzGerald, Gregory R. Grant

    Хэвлэсэн 2016
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    Artigo
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  11. 11
    A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes

    A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes -н Simone Marini, Emanuele Trifoglio, Nicola Barbarini, Francesco Sambo, Barbara Di Camillo, Alberto Malovini, Marco Manfrini, Claudio Cobelli, Riccardo Bellazzi

    Хэвлэсэн 2015
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    Artigo
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  12. 12
    Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

    Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms -н Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana

    Хэвлэсэн 2012
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    Artigo
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  13. 13
    Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene

    Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene -н Francesco Sambo, Francesca Finotello, Enrico Lavezzo, Giacomo Baruzzo, Giulia Masi, Elektra Peta, Marco Falda, Stefano Toppo, Luisa Barzon, Barbara Di Camillo

    Хэвлэсэн 2018
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    Artigo
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  14. 14
    Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells

    Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells -н Marilena P. Etna, Alessandro Sinigaglia, Angela Grassi, Elena Giacomini, Alessandra Romagnoli, Manuela Pardini, Martina Severa, Melania Cruciani, Fabiana Rizzo, Eleni Anastasiadou, Barbara Di Camillo, Luisa Barzon, Gian María Fimia, Riccardo Manganelli, Eliana M. Coccia

    Хэвлэсэн 2018
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    Artigo
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  15. 15
    Exposure to dipeptidyl‐peptidase‐4 inhibitors and <scp>COVID</scp>‐19 among people with type 2 diabetes: A case‐control study

    Exposure to dipeptidyl‐peptidase‐4 inhibitors and <scp>COVID</scp>‐19 among people with type 2 diabetes: A case‐control study -н Gian Paolo Fadini, Mario Luca Morieri, Enrico Longato, Benedetta Maria Bonora, Silvia Pinelli, Elisa Selmin, Giacomo Voltan, Daniele Falaguasta, Silvia Tresso, Giorgia Costantini, Giovanni Sparacino, Barbara Di Camillo, Lara Tramontan, Anna Maria Cattelan, Andrea Vianello, Paola Fioretto, Roberto Vettor, Angelo Avogaro

    Хэвлэсэн 2020
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    Artigo
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  16. 16
    Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

    Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism -н João Fadista, Petter Vikman, Emilia Ottosson Laakso, Inês G. Mollet, Jonathan L.S. Esguerra, Jalal Taneera, Petter Storm, Peter Osmark, Claes Ladenvall, Rashmi B. Prasad, Karin Hansson, Francesca Finotello, Kristina Uvebrant, Jones K. Ofori, Barbara Di Camillo, Ulrika Krus, Corrado Cilio, Ola Hansson, Lena Eliasson, Anders H. Rosengren, Erik Renström, Claes B. Wollheim, Leif Groop

    Хэвлэсэн 2014
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    Artigo
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  17. 17
    Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

    Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review -н Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Rúben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo

    Хэвлэсэн 2023
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  18. 18
    Cross-sectional evaluation of host biomarkers for guiding antibiotic use in bacterial and non-bacterial acute febrile illness in low- and middle-income tropical settings

    Cross-sectional evaluation of host biomarkers for guiding antibiotic use in bacterial and non-bacterial acute febrile illness in low- and middle-income tropical settings -н B. Leticia Fernández-Carballo, Michele Atzeni, Camille Escadafal, Martina Vettoretti, Steffen Geis, Selidji Todagbé Agnandji, André M. Siqueira, Jullita Malava, Louis Banda, Anita L. Kabwende, Ayodele Alabi, Juste Christin Bie Ondo, Marguerite Massinga Loembé, Paulin N. Essone, José Moreira, Aline da Rocha Matos, Bráulia Costa Caetano, Marilda Mendonça Siqueira, Ana María Bispo de Filippis, Erica Aparecida dos Santos Ribeiro da Silva, Maria Cristina S. Lourenço, Julia Häring, Anna Günther, Meike Jakobi, Nicole Schneiderhan‐Marra, Christine Hoogland, Patrícia Brasil, Sunil Pokharel, Stefano Ongarello, Victoria Harris, Aurélien Mace, Sue J. Lee, Barbara Di Camillo, Sabine Dittrich

    Хэвлэсэн 2025
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    Artigo
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  19. 19
    The Genetic Landscape of Renal Complications in Type 1 Diabetes

    The Genetic Landscape of Renal Complications in Type 1 Diabetes -н Niina Sandholm, Natalie Van Zuydam, Emma Ahlqvist, Thorhildur Juliusdottir, Harshal Deshmukh, Nigel W. Rayner, Barbara Di Camillo, Carol Forsblom, João Fadista, Daniel Ziemek, Rany M. Salem, Linda T. Hiraki, Marcus G. Pezzolesi, David‐Alexandre Trégouët, Emma H. Dahlström, Erkka Valo, Nikolay Oskolkov, Claes Ladenvall, M. Loredana Marcovecchio, Jason D. Cooper, Francesco Sambo, Alberto Malovini, Marco Manfrini, Amy Jayne McKnight, Maria Lajer, Valma Harjutsalo, Daniel Gordin, Maija Parkkonen, Valeriya Lyssenko, Paul McKeigue, Stephen S. Rich, M. Julia Brosnan, Eric B. Fauman, Riccardo Bellazzi, Peter Rossing, Samy Hadjadj, Andrzej S. Królewski, Andrew D. Paterson, Joel N. Hirschhorn, Alexander P. Maxwell, Claudio Cobelli, Helen M. Colhoun, Per‐Henrik Groop, Mark I. McCarthy, Per‐Henrik Groop

    Хэвлэсэн 2016
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    Artigo
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  20. 20
    A large-scale evaluation of computational protein function prediction

    A large-scale evaluation of computational protein function prediction -н Predrag Radivojac, Wyatt T. Clark, Tal Oron, Alexandra M. Schnoes, Tobias Wittkop, Artem Sokolov, Kiley Graim, Christopher S. Funk, Karin Verspoor, Asa Ben‐Hur, Gaurav Pandey, Jeffrey M. Yunes, Ameet Talwalkar, Susanna Repo, Michael L Souza, Damiano Piovesan, Rita Casadio, Zheng Wang, Jianlin Cheng, Hai Fang, Julian Gough, Patrik Koskinen, Petri Törönen, Jussi Nokso-Koivisto, Liisa Holm, Domenico Cozzetto, Daniel Buchan, Kevin Bryson, David T. Jones, Bhakti Limaye, Harshal Inamdar, Avik Datta, Sunitha K Manjari, Rajendra Joshi, Meghana Chitale, Daisuke Kihara, Andreas Martin Lisewski, Serkan Erdin, Eric Venner, Olivier Lichtarge, Robert Rentzsch, Haixuan Yang, Alfonso E. Romero, Prajwal Bhat, Alberto Paccanaro, Tobias Hamp, Rebecca Kaßner, Stefan Seemayer, Esmeralda Vicedo, Christian Schaefer, Dominik Achten, Florian Auer, Ariane C. Boehm, Tatjana Braun, Maximilian Hecht, B. Mark Heron, Peter Hönigschmid, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompaß, Cedric Landerer, Yannick Mahlich, Manfred Roos, Jari Björne, Tapio Salakoski, Andrew Wong, Hagit Shatkay, Fanny Gatzmann, I. Sommer, Mark N. Wass, Michael J.E. Sternberg, Nives Škunca, Fran Supek, Matko Bošnjak, Panče Panov, Sašo Džeroski, Tomislav Šmuc, Yiannis Kourmpetis, Aalt D. J. van Dijk, Cajo J. F. ter Braak, Yuanpeng Zhou, Qingtian Gong, Xinran Dong, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Barbara Di Camillo, Stefano Toppo, Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vučetić, Amos Bairoch, Michal Linial, Patricia C. Babbitt, Steven E. Brenner, Christine Orengo, Burkhard Rost

    Хэвлэсэн 2013
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    Artigo
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