The human body is a highly complex system operating over several spatiotemporal scales. Advances in measurement techniques, particularly the advent of high through-put omics technologies, in recent decades has greatly improved our understanding of the human system, and how the biological entities in each sub-network from cells, to tissues and organs interact to give rise to systemic responses. However, how to effectively process, integrate, and analyse this often very high dimensional data presents poses one of the biggest challenges to biological researches today. In this thesis, 'Modelling the Dynamics in Time Series of Metabolomics and Transcriptomics Data' we have focused on a range of computational approaches that allow multivariate time series of biological data to be integrated, analysed, and interpreted. While the challenges of analysing time series data are common to several biological disciplines in this thesis we have elected to focus on two specific cases; the minimally invasive assessment of metabolic health in the obese system and alternatives to animal testing in toxicological screening. Nevertheless, the approaches used in this thesis can be generalised to several biological disciplines.
Thesis Statement | Meaning, Importance, Steps and Types
Undergraduate Research Topics | Computer Science Department at Princeton University
Originality is one of the most important criteria for a successful thesis. Your thesis should be a significant addition to the accumulated knowledge within your discipline, which implies it must offer something new. While your thesis will be a big step for you, in most cases, your contribution will be a relatively small step for your field of study as a whole. There are many ways you can incorporate originality without your thesis becoming too ambitious or unmanageable. These will guide you to the best areas for original research. Your supervisor will be in the best position to advise you on whether you have enough new ideas. There will also be opportunities within your faculty for you to explain and explore your ideas with other postgraduate research students.
What is predictive analytics? Transforming data into future insights
Published on February 25, by Shona McCombes. Revised on February 8, In your thesis or dissertation, you will have to discuss the methods you used to do your research.
The next step, after choosing a topic for your thesis and making sure it is crisp and ready, is gathering data. In this article, we will focus on how to effectively collect theoretical and empirical data. At this point in your academic life, you are already acquainted with the ways of finding potential references. Some obvious sources of theoretical material are journals, libraries, and online databases like Google Scholar , ERIC , or Scopus , or take a look at the top list of academic search engines Nevertheless, there are some hidden methods that can help you get the most out of your sources.