Due to the influence of various uncertain factors, there will inevitably be certain errors
between the prediction of finite-element (FE) model and observed data for a target structure …

Background Building biological networks with a certain function is a challenge in systems
biology. For the functionality of small (less than ten nodes) biological networks, most …

Motivated by studying synchronization mechanisms in gene regulatory networks (GRNs)
and their relation to evolutionary events such as genetic duplication and genetic …

Over the past 2 decades, synthetic biology has yielded ever more complex genetic circuits
that are able to perform sophisticated functions in response to specific signals. Yet, genetic …

Introduction: Gene regulatory networks (GRNs) are characterized by their dynamism,
meaning that the regulatory interactions which constitute these networks evolve with time …

Genetic regulatory networks (GRNs) regulate the flow of genetic information from the
genome to expressed messenger RNAs (mRNAs) and thus are critical to controlling the …

Recent advances in single-cell RNA sequencing (scRNA-seq) technology provides
unprecedented opportunities for reconstruction gene regulation networks (GRNs). At …

Stem cells have fascinated humans for a long time because of their fundamental importance
in building and sustaining many forms of life. Stem cells are able to divide and maintain …

This dissertation centers on the development of Bayesian methods for learning different
types of variation in switching nonlinear gene regulatory networks (GRNs). A new nonlinear …

Around 10% of the world population suffers from chronic kidney disease. While the initial
stimulus of kidney injury may vary, fibrosis represents the common end-stage of nearly all …