It is not feasible to investigate the whole genes at a microscopic level for disease
classification in Genomics. It might take substantial time to execute any meaningful analysis …

Gene knockout studies suggest that~ 300 genes in a bacterial genome and~ 1,100 genes in
a yeast genome cannot be deleted without loss of viability. These single-gene knockout …

Gene similarity networks play important role in unraveling the intricate associations within
diverse cancer types. Conventionally, gauging the similarity between genes has been …

This thesis presents an approach to support the identification and potential investigation of
abnormal asset performance in traded securities, often popularised as 'financial bubbles'. It …

Single-cell RNA sequencing data clustering is a valuable technique for demonstrating cell-
tocell heterogeneity and revealing cell dynamics within and amongst groups. Large up …

Next-generation sequencing (NGS) help to identify disease-causing genes underlying any
given monogenic or complex disease. Concurrently, mathematical tools and statistical …

Identifying the key functions of human genes is a major biomedical research goal. While
some genes are well-studied, most human genes we know little about. New tools in data …

Protein interaction networks are a commonly used tool in bioinformatics, eg for the purposes
of gene function prediction or drug target identification. They are built from often …