Хайлтын үр дүнгүүд - Iorio, Francesco

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

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Transcriptional data: a new gateway to drug repositioning? -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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 -н 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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