Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Multivariate Analysis Of Prokaryotic Amino Acid Usage Bias: A Computational Method For Understanding Protein Building Block Selection In Primitive Organisms, Douglas Whitmore Raiford Iii
Multivariate Analysis Of Prokaryotic Amino Acid Usage Bias: A Computational Method For Understanding Protein Building Block Selection In Primitive Organisms, Douglas Whitmore Raiford Iii
Browse all Theses and Dissertations
Organisms expend a significant fraction of their overall energy budget in the creation of proteins, particularly for those that are produced in large quantities. Recent research has demonstrated that genes encoding these proteins are shaped by natural selection to produce the proteins with low cost building blocks (amino acids) whenever possible. The negative correlation between protein production rate and their energetic costs has been established for two bacterial genomes: Escherichia coli and Bacillus subtilis. This thesis provides scientific validation of this theory by automating the analysis and extending the research to additional genomes. Investigations into building block selection are highly …
Pattern Recognition Via Machine Learning With Genetic Decision-Programming, Carl C. Hoff
Pattern Recognition Via Machine Learning With Genetic Decision-Programming, Carl C. Hoff
Browse all Theses and Dissertations
In the intersection of pattern recognition, machine learning, and evolutionary computation is a new search technique by which computers might program themselves. That technique is called genetic decision-programming. A computer can gain the ability to distinguish among the things that it needs to recognize by using genetic decision-programming for pattern discovery and concept learning. Those patterns and concepts can be easily encoded in the spines of a decision program (tree or diagram). A spine consists of two parts: (1) the test-outcome pairs along a path from the program's root to any of its leaves and (2) the conclusion in that …