In vitro fertilization needs novel approaches to improve the pregnancy rate. The recent advent of novel technologies, such as transcriptomics, proteomics, and imaging, represents a opportunity to consider each embryo individually and to understand embryo developmental steps from a genetic and metabolic point of view. In this PhD thesis we aim to model, using logic programs, the transcriptomic data issued from Human embryos to understand their development.
Detail of the offer: https://research.ec-nantes.fr/medias/fichier/thesis-offer_1716815841004-pdf