Arashi, Mohammad2021-12-152021-12-1520222021*A2022http://hdl.handle.net/2263/83074Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2021.The need for statistical tools capable of addressing high-dimensional data is ever-growing. One such tool is that of differential networks, which have become increasing popular within various branches of science. The popularity of differential networks and their subsequent analysis is largely attributed to their ability to effectively represent the relationships between factors of complex systems over time, or over various experimental conditions. However, a differential network is not easily calculated, and in high dimensional settings common within biological sciences they must be estimated.Motivated by this, this dissertation comprehensively explores differential networks and the efficient estimation thereof through the use of a R package developed throughout the course of this research- dineR.en© 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.Differential networksComputational statisticsUCTDMini Dissertation