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