People are increasingly staring at device screens which emit predominantly blue light. Because LED technology is relatively new, we do not know what effects blue light has on our long-term health. Blue light exposure leads to a dramatic decrease in longevity in Drosophila, thus this study aims to explore possible...
The scientific method applies hypothesis testing to material samples through experimentation, measurement, and data analysis, which produce representations—or features—that describe phenomena of interest. Biomolecular features come in numerous forms such as values, matrices, graphs, three-dimensional structures, trajectories, and molecular surfaces. Researchers have tested thousands of features related to protein molecules...
MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language.
In this dissertation, we will first introduce several deep models...
Single nucleotide polymorphisms (SNPs) can be used as markers to infer population genetic structure. For Mycoplasma cynos, a pathogen associated with infectious respiratory disease among canines and other animals, SNPs may help to elucidate ecological and evolutionary relationships among the strains that reside in the upper respiratory tract of canines...
Water is an absolute necessity for life as we know it. It provides a useful medium in which chemical reactions take place that allowed for the development of single cellular organisms. When combined with the evolutionary accident that was pho- tosynthesis, water became not only a useful medium chemical reactions,...
Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...