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Roberto Bertolusso, Ph.D. - Publications

Affiliations: 
2011 Rice University, Houston, TX 
Area:
Statistics, Bioinformatics Biology, Virology Biology
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6 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Mura M, Feillet C, Bertolusso R, Delaunay F, Kimmel M. Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells. Plos Computational Biology. 15: e1007054. PMID 31158226 DOI: 10.1371/Journal.Pcbi.1007054  0.469
2019 Wojdyla T, Mehta H, Glaubach T, Bertolusso R, Iwanaszko M, Braun R, Corey SJ, Kimmel M. Mutation, drift and selection in single-driver hematologic malignancy: Example of secondary myelodysplastic syndrome following treatment of inherited neutropenia. Plos Computational Biology. 15: e1006664. PMID 30615612 DOI: 10.1371/Journal.Pcbi.1006664  0.418
2014 Bertolusso R, Tian B, Zhao Y, Vergara L, Sabree A, Iwanaszko M, Lipniacki T, Brasier AR, Kimmel M. Dynamic cross talk model of the epithelial innate immune response to double-stranded RNA stimulation: coordinated dynamics emerging from cell-level noise. Plos One. 9: e93396. PMID 24710104 DOI: 10.1371/Journal.Pone.0093396  0.484
2014 Bertolusso R, Tian B, Zhao Y, Vergara L, Sabree A. Dynamic cross talk model of the epithelial innate immune response to double-stranded RNA stimulation: Coordinated dynamics emerging from cell-level noise (PLoS ONE 9, 4 (e93396) DOI:10.1371/journal.pone.0093396) Plos One. 9. DOI: 10.1371/Journal.Pone.0103019  0.323
2012 Bertolusso R, Kimmel M. Spatial and stochastic effects in a model of viral infection Fundamenta Informaticae. 118: 327-343. DOI: 10.3233/Fi-2012-718  0.455
2012 Bertolusso R, Kimmel M. Modeling spatial effects in early carcinogenesis: Stochastic versus deterministic reaction-diffusion systems Mathematical Modelling of Natural Phenomena. 7: 245-260. DOI: 10.1051/Mmnp/20127111  0.449
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