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We also discuss using clonal lineage tracing to track cell clones throughout the transplant process and present some preliminary analyses.","abstract_html":"Bone marrow transplants are an important tool in modern medicine due to their ability to treat a wide range of diseases, spanning both cancerous and non-cancerous conditions. We aim to study the blood system dynamics using sequencing data from paired pre-transplant and post-transplant samples and look for potential expression profiles that may be biased toward successful bone marrow engraftment. We find that some genes have increased expression in post-transplant samples compared to pre-transplant samples. We also discuss using clonal lineage tracing to track cell clones throughout the transplant process and present some preliminary analyses.","abstract_has_math":false,"creators":["Kuoch, Michael K."],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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We aim to study the blood system dynamics using sequencing data from paired pre-transplant and post-transplant samples and look for potential expression profiles that may be biased toward successful bone marrow engraftment. We find that some genes have increased expression in post-transplant samples compared to pre-transplant samples. We also discuss using clonal lineage tracing to track cell clones throughout the transplant process and present some preliminary analyses."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing"]}]}],"canonical_facts":{"dc:contributor.advisor":["Yaffe, Michael B."],"dc:contributor.department":["Massachusetts Institute of Technology. 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We also discuss using clonal lineage tracing to track cell clones throughout the transplant process and present some preliminary analyses."],"dc:description.degree":["M.Eng."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/153874"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"dc:rights.uri":["https://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Engineering in Electrical Engineering and Computer Science"]},"updated_at":"2026-07-22T22:21:54Z"}