Giovanni Paternostro

Affiliations: 
Bioengineering University of California, San Diego, La Jolla, CA 
Area:
Biomedical
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"Giovanni Paternostro"
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Publications

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Piermarocchi C, Domanskyi S, Hakansson A, et al. (2020) Abstract A14: Modeling drug combination sensitivity with Hopfield networks and transcriptomics data Cancer Research. 80
Szedlak A, Sims S, Smith N, et al. (2017) Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems. Plos Computational Biology. 13: e1005849
Szedlak A, Smith N, Liu L, et al. (2016) Evolutionary and Topological Properties of Genes and Community Structures in Human Gene Regulatory Networks. Plos Computational Biology. 12: e1005009
Schachter L, Hutchins IM, Waalen J, et al. (2016) Drug Sensitivity Across Acute Myeloid Leukemia Subtypes Using an in Vitro Assay Blood. 128: 5208-5208
Kang Y, Tierney M, Ong E, et al. (2015) Combinations of Kinase Inhibitors Protecting Myoblasts against Hypoxia. Plos One. 10: e0126718
Ong E, Szedlak A, Kang Y, et al. (2015) A scalable method for molecular network reconstruction identifies properties of targets and mutations in acute myeloid leukemia. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 22: 266-88
Szedlak AD, Paternostro G, Piermarocchi C. (2015) Abstract B2-40: Many-attractor models of signaling dynamics and heterogeneity in acute myeloid leukemia gene regulatory networks Cancer Research. 75
Szedlak A, Paternostro G, Piermarocchi C. (2014) Control of asymmetric Hopfield networks and application to cancer attractors. Plos One. 9: e105842
Kang Y, Hodges A, Ong E, et al. (2014) Identification of drug combinations containing imatinib for treatment of BCR-ABL+ leukemias. Plos One. 9: e102221
Tran TP, Ong E, Hodges AP, et al. (2014) Prediction of kinase inhibitor response using activity profiling, in vitro screening, and elastic net regression. Bmc Systems Biology. 8: 74
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