Resultats de la cerca - Iorio, Francesco

Network based elucidation of drug response: from modulators to targets per Iorio, Francesco, Saez-Rodriguez, Julio, Bernardo, Diego di

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Transcriptional data: a new gateway to drug repositioning? per Iorio, Francesco, Rittman, Timothy, Ge, Hong, Menden, Michael, Saez-Rodriguez, Julio

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Computational estimation of quality and clinical relevance of cancer cell lines per Trastulla, Lucia, Noorbakhsh, Javad, Vazquez, Francisca, McFarland, James, Iorio, Francesco

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Thrombosis of Kommerell’s diverticulum with subclavian steal phenomenon in a patient with non-small cell lung carcinoma under chemotherapy per Faggioni, Lorenzo, Gabelloni, Michela, Napoli, Vinicio, Iorio, Francesco, Chella, Antonio, Caramella, Davide

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Efficient randomization of biological networks while preserving functional characterization of individual nodes per Iorio, Francesco, Bernardo-Faura, Marti, Gobbi, Andrea, Cokelaer, Thomas, Jurman, Giuseppe, Saez-Rodriguez, Julio

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JACKS: joint analysis of CRISPR/Cas9 knockout screens per Allen, Felicity, Behan, Fiona, Khodak, Anton, Iorio, Francesco, Yusa, Kosuke, Garnett, Mathew, Parts, Leopold

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DvD: An R/Cytoscape pipeline for drug repurposing using public repositories of gene expression data per Pacini, Clare, Iorio, Francesco, Gonçalves, Emanuel, Iskar, Murat, Klabunde, Thomas, Bork, Peer, Saez-Rodriguez, Julio

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Age and blood transfusion: relationship and prognostic implications in cardiac surgery per De Santo, Luca Salvatore, Romano, Gianpaolo, Mango, Emilio, Iorio, Francesco, Savarese, Leonardo, Numis, Flora, Zebele, Carlo

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Negative-Pressure Wound Therapy for Prevention of Sternal Wound Infection after Adult Cardiac Surgery: Systematic Review and Meta-Analysis per Biancari, Fausto, Santoro, Grazia, Provenzano, Federica, Savarese, Leonardo, Iorio, Francesco, Giordano, Salvatore, Zebele, Carlo, Speziale, Giuseppe

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GDSCTools for mining pharmacogenomic interactions in cancer per Cokelaer, Thomas, Chen, Elisabeth, Iorio, Francesco, Menden, Michael P, Lightfoot, Howard, Saez-Rodriguez, Julio, Garnett, Mathew J

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CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens per Vinceti, Alessandro, Karakoc, Emre, Pacini, Clare, Perron, Umberto, De Lucia, Riccardo Roberto, Garnett, Mathew J., Iorio, Francesco

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Pathway-based dissection of the genomic heterogeneity of cancer hallmarks’ acquisition with SLAPenrich per Iorio, Francesco, Garcia-Alonso, Luz, Brammeld, Jonathan S., Martincorena, Iňigo, Wille, David R., McDermott, Ultan, Saez-Rodriguez, Julio

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Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties per Menden, Michael P., Iorio, Francesco, Garnett, Mathew, McDermott, Ultan, Benes, Cyril H., Ballester, Pedro J., Saez-Rodriguez, Julio

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Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy per Knijnenburg, Theo A., Klau, Gunnar W., Iorio, Francesco, Garnett, Mathew J., McDermott, Ultan, Shmulevich, Ilya, Wessels, Lodewyk F. A.

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Phosphoproteomics data classify hematological cancer cell lines according to tumor type and sensitivity to kinase inhibitors per Casado, Pedro, Alcolea, Maria P, Iorio, Francesco, Rodríguez-Prados, Juan-Carlos, Vanhaesebroeck, Bart, Saez-Rodriguez, Julio, Joel, Simon, Cutillas, Pedro R

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Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects per Gonçalves, Emanuel, Behan, Fiona M., Louzada, Sandra, Arnol, Damien, Stronach, Euan A., Yang, Fengtang, Yusa, Kosuke, Stegle, Oliver, Iorio, Francesco, Garnett, Mathew J.

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Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens per Ayestaran, Iñigo, Galhoz, Ana, Spiegel, Elmar, Sidders, Ben, Dry, Jonathan R., Dondelinger, Frank, Bender, Andreas, McDermott, Ultan, Iorio, Francesco, Menden, Michael P.

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Discovery of drug mode of action and drug repositioning from transcriptional responses per Iorio, Francesco, Bosotti, Roberta, Scacheri, Emanuela, Belcastro, Vincenzo, Mithbaokar, Pratibha, Ferriero, Rosa, Murino, Loredana, Tagliaferri, Roberto, Brunetti-Pierri, Nicola, Isacchi, Antonella, di Bernardo, Diego

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Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function per Belcastro, Vincenzo, Siciliano, Velia, Gregoretti, Francesco, Mithbaokar, Pratibha, Dharmalingam, Gopuraja, Berlingieri, Stefania, Iorio, Francesco, Oliva, Gennaro, Polishchuck, Roman, Brunetti-Pierri, Nicola, di Bernardo, Diego

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The germline genetic component of drug sensitivity in cancer cell lines per Menden, Michael P., Casale, Francesco Paolo, Stephan, Johannes, Bignell, Graham R., Iorio, Francesco, McDermott, Ultan, Garnett, Mathew J., Saez-Rodriguez, Julio, Stegle, Oliver

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