Liu, Junhu, zhirui2019-12-112019-112019-09-102019hu, zhirui. 2019. Information Integration via Bayesian and Neural Network Models With Applications to Biology. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences.http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013062This thesis is comprised of three parts: 1) we proposed a new method to model convergent rate changes of genomic elements on phylogenetic trees and detect the association between the rate shifts and the convergent phenotypes; 2) we introduced a novel approach for nonparmateric regression using neural networks when the variables have measurement errors; 3) we developed a new method for imputation and clustering for single cell RNA sequencing data.application/pdfenBayesian statistics, Phylogenetics, deep learning, computational biologyThesis or Dissertation2019-12-11