Predicting the next character in a DNA genome sequence using data analysis and machine learning techniques
Cardiff Metropolitan University
MetadataShow full item record
The research contained in this paper consists of the full analysis of various machine learning techniques and their underlying algorithmic and mathematical principles. Further discussed is both the optimisation of the algorithms and their application to datasets. The technical development aspect of this paper consists of the application of Python programming scripts to dynamically prepare a genome DNA dataset from an opportunistic pathogen organism, the “Pseudomonas aeruginosa ”. Results are derived from further Python technical development by creating Decision Trees, Random Forests, Neural Networks and Support Vector Machines, to analyse the newly created datasets. Accuracies and detailed metrics are then further analysed and prepared. Further improvements and a basis for further research is then recommended based on the experience acquired from the conduction of the experiments contained in this paper.
Showing items related by title, author, subject and abstract.
AN INVESTIGATION IN TEACHING STYLES WHERE INCLUSIVE PRACTICE IS ADOPTED WITHIN MAINSTREAM P.E. (DANCE) IN KEY STAGE 3 EDUCATION. Jones, Rebecca (University of Wales Institute Cardiff, 2012)This research investigates teaching styles where inclusive practice is adopted within mainstream P.E. (dance) in Key Stage 3 education. Through an analysis of teaching strategies within inclusion there has been some ...
An investigation into how businesses use sponsorship within their marketing strategy to promote the organisation at events and what motivates the organisation to do so Emmett, Andrew (Cardiff Metropolitan University, 2015)The focus of this research is to analyse and research how businesses use sponsorship within marketing mix to promote the organisation at events, from this the researcher looked into the different motivations for sponsoring ...
Green, Laura (2013-02)The purpose of the current study was to provide a longitudinal examination of the stress and emotion process. Three female footballers were selected to take part in the study. Pre-match, post-match and post-training diary ...