Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
Long noncoding RNAs (lncRNAs) are RNA molecules that are at least 200 nucleotides long and do not encode proteins. lncRNAs have roles in gene regulation, chromatin epigenetics, and molecular scaffolding. In light of mounting evidence implicating species-specific noncoding RNAs and gene regulatory mechanisms in species adaptations, it is reasonable to...
While monocytes are vital for host defense against pathogens, in cases of non-resolving inflammation, monocytes and their differentiated progeny can secrete tissue-damaging factors, present auto-antigens, and promote the inflammatory response. In this study, a systems biology approach was used to map human monocyte gene regulatory regions by integrating expression quantitative...
While monocytes are vital for host defense against pathogens, in cases of non-resolving inflammation, monocytes and their differentiated progeny can secrete tissue-damaging factors, present auto-antigens, and promote the inflammatory response. In this study, a systems biology approach was used to map human monocyte gene regulatory regions by integrating expression quantitative...
With the development of technologies in genome sequencing and variant detection, a huge number of variants are detected. To further analyze the variants, it requires an efficient tool to annotate the functional effect of variants. This project managed to develop an efficient program to annotate the functional effect of variants...
An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
Mycobacterium abscessus (MAB) is an opportunistic pathogen responsible for infections in immunocompromised or immunosuppressed patients. Even with long-term treatment with multiple antibiotics, MAB pulmonary infections have high rates of treatment failure. Within the host, MAB is phagocytosed by key innate immune cells macrophages. The TLR2 and TLR4 are two critical...
This thesis investigates the dynamic efficiency of emission standards and
Pigouvian taxes in the regulation of pollution where research and development (R&D)
and the technology level are endogenous. A key element of the analysis is a comparison
of the efficiency between instances in which the regulator can and cannot commnit...