Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution
Reconstruct the phylogenetic history of a colorectal cancer patient and a healthy patient from single-cell DNA sequencing data.
VRhook: A Data Collection Tool for VR Motion Sickness Research
VR gaming has been gaining widespread popularity in recent years. However, up to 40% of users suffer from VR motion sickness. The adverse effects can severely undermine the user experience. Recently, researchers have proposed the use of machine learning approaches to identify the presence of motion sickness.
Ahuahu Great Mercury Island Online Database
The Archaeology eResearch Collaboration Initiative (ARCI) is a research group specialising in the management and analysis of data intensive archaeology. In tandem with the Centre for eResearch, we are currently trialling the CollectiveAccess deployment to collaboratively record, manage, and explore archaeological data and metadata relating to the Ahuahu Great Mercury Island project.
Automating Data Collection and Generation for The Rongowai Mission
ongowai (Rongo – to sense; wai – water) is an international collaborative mission hosting a next-generation Global Navigation Satellite System Reflectometry (GNSS-R) payload on board a commercial Q300 aircraft to collect climate data about New Zealand during flight.
Travelling Heads – Measuring Reproducibility and Repeatability of Magnetic Resonance Imaging in Dementia
Approximately 50 million people are living with dementia worldwide, and in New Zealand, 1.4% of the population have Alzheimer’s disease or related dementia. With an ageing population, the prevalence is predicted to double by 2050
Novel Subject-Specific Method of Visualising Group Differences from Multiple DTI Metrics without Averaging
Developing a novel technique that integrates diffusion tensor (DTI) metrics along the whole volumes of the Fibre bundle using a mesh-fitting technique.
Interpretation of Non-coding Mutations Driving Melanoma Risk and Its Comorbidities
Melanoma is the deadliest form of skin cancer with increasing worldwide incidence. Understanding the underlying mechanisms driving melanoma is crucial for better treatment and prevention.
Who Are The 1M and 1X? Police Engagement with Citizens in Mental Distress
Using Statistics New Zealand’s Integrated Data Infrastructure (IDI) would enable linkage between NZ Police, health and social sector data, to better understand citizens in mental distress.
Representation of Multimodel Data – A Challenging Task
The project began with a patient’s decision to donate her inoperable cancer tissue for research. Over the years, medical monitoring has enabled scientists to gather a large amount of information on the growth of cancer as well as its distribution in the patient’s body.
Assessing Marine Ecosystems to Improve Management
Investigating the ecological effects of fishing and sediment run-off from land in Queen Charlotte Sound, whilst also looking for areas that might be suitable for restoration in the future.