Search
Now showing items 1-3 of 3
Fully automated deep supervised and unsupervised learning approaches for 3D protein cryo-EM density map reconstruction
(University of Missouri--Columbia, 2019)
One of the most important components of the human body is the protein. Protein uses for building and repairing tissues, making enzymes and hormones. It is the essential building block of bones, muscles, cartilages, skin ...
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)
and epigenetics; and chromosome visualization at a higher scale, among others. In this dissertation, four major contributions are described, first, 3DMax, a tool for chromosome and genome 3-D structure prediction from H-C data using optimization algorithm, second...
Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network
(University of Missouri--Columbia, 2012)
” interactions based on chromosomal spatial proximity. Proteins are the biological units that conduct biological functions. The three-dimensional structure of a protein molecule determines its particular functions. Chapters 3 and 4 discuss research in predicting...