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oai:dash.harvard.edu:1/373736152022-11-24T04:06:00Zcom_1_1col_1_4927603

Hill, Alison L Gheorghe, Andrei Horia Desai, Michael M Kaxiras, Efthimios Nowak, Martin A. 2022-11-24T04:05:59Z 2022 2022-11-23 2022-11 2022-11-24T04:05:59Z Gheorghe, Andrei Horia. 2022. Methods for inferring dynamical systems from biological data with applications to HIV latency and genetic drivers of aging. Doctoral dissertation, Harvard University Graduate School of Arts and Sciences. 29260337 https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37373615 0000-0002-4995-1320 This thesis focuses on developing advanced methods to infer the dynamical systems governing biological processes. Over the past century, techniques to describe the nonlinear dynamics of interacting systems in precise mathematical terms has advanced our ability to understand, predict, and control a variety of processes in physics and engineering, as well as more recently in the biological sciences. Most commonly, the resulting dynamical systems consist of differential equations derived from a mechanistic understanding of the interactions involved, which are then “fit” to dense time series of data using optimization methods to extract specific parameter values. However, this approach can be difficult to translate to systems with large numbers of interacting variables, highly stochastic dynamics, very short or long timescales, or for which the ability to experimentally intervene or monitor the system is limited. Here we consider two such systems where traditional methods fail for different reasons: inferring the genetic networks controlling aging across the human lifespan, and inferring the processes allowing latent HIV infection to persist and evade a cure with existing treatments. application/pdf en Physics Methods for inferring dynamical systems from biological data with applications to HIV latency and genetic drivers of aging Thesis or Dissertation text 2024-11-23 2024-11-23 LAA Gheorghe, Andrei Horia ah.gheorghe@gmail.com 2022 Harvard University Graduate School of Arts and Sciences Doctoral Ph.D. Physics Publication LAAopen.access