A5101634257- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- Gene expression and cancer classification
- Advanced Biosensing Techniques and Applications
- Olfactory and Sensory Function Studies
- Biomedical Text Mining and Ontologies
- Advanced Text Analysis Techniques
- Genomics and Rare Diseases
- Genomics and Chromatin Dynamics
- 3D Surveying and Cultural Heritage
- Bioinformatics and Genomic Networks
- Music and Audio Processing
- Neurotransmitter Receptor Influence on Behavior
- Image and Video Quality Assessment
- Telomeres, Telomerase, and Senescence
- Hearing Loss and Rehabilitation
- Speech and Audio Processing
- Advanced Chemical Sensor Technologies
- Neuroscience and Neuropharmacology Research
- Image Enhancement Techniques
- Video Coding and Compression Technologies
- AI in Service Interactions
- Distributed and Parallel Computing Systems
- Color perception and design
- Participatory Visual Research Methods
QIMR Berghofer Medical Research Institute
2024-2025
The University of Queensland
2020-2024
Universität Hamburg
2021
ABSTRACT Spatial Transcriptomics is an emerging technology that adds spatial dimensionality and tissue morphology to the genome-wide transcriptional profile of cells in undissociated tissue. Integrating these three types data creates a vast potential for deciphering novel biology cell their native morphological context. Here we developed innovative integrative analysis approaches utilise all first find types, then reconstruct type evolution within tissue, search regions with high...
360-degree video content has become a pivotal component in virtual reality environments, offering viewers an immersive and engaging experience. However, streaming such comprehensive presents significant challenges due to the substantial file sizes varying network conditions. To address these challenges, view adaptive emerged as promising solution, aimed at reducing burden on capacity. This technique involves lower-quality for peripheral views while delivering high-quality specific viewport...
This article examines the integration of two qualitative research methodologies, namely Participatory Action Research (PAR) and Photovoice (PV), to explore their synergies, tensions, implications for social work. While both methodologies are rooted in participatory, subjectivist-objectivist, transformative-emancipatory frameworks, they differ objectives, methods, levels participant involvement. PAR focuses on challenging power structures promoting systemic change through collaborative...
Granular detail about the location and nature of liver cell interactions metabolic, inflammatory fibrogenic pathways driving progressive fibrosis in metabolic dysfunction-associated steatotic disease (MASLD) is needed to deliver novel therapeutic targets. Here we used spatial transcriptomic data from human MASLD biopsies identify major types their potential interconnected activities within specific tissue regions across spectrum MASLD. Gene expression were generated using 10X Genomics Visium...
In a sensory-rich environment, human experiences are shaped by the complex interplay of multiple senses. However, digital interactions predominantly engage visual and auditory modalities, leaving other sensory channels, such as olfaction, largely unutilized. Virtual Reality (VR) technology holds significant potential for addressing this limitation incorporating wider range inputs to create more immersive experiences. This study introduces novel approach integrating olfactory stimuli into VR...
Abstract The spatial heterogeneity of tumors poses significant challenges for effective treatment, resulting in varied therapeutic responses across different regions the same tumor. This challenge is especially pronounced brain cancers, where uneven drug distribution—largely due to biological barriers like blood-brain barrier—complicates treatment. Techniques that overlay distribution with transcriptional profiles would enable a comprehensive, unbiased investigation effects. In this study,...
Chatbot research has advanced significantly over the years. Enterprises have been investigating how to improve these tools’ performance, adoption, and implementation communicate with customers or internal teams through social media. Besides, businesses also want pay attention quality reviews from via networks about products available in market. From there, please select a new method service of their then send it publishing agencies publish based on needs evaluation society. Although there...
Abstract Cell-cell interaction (CCI) analyses are an indispensable tool for harnessing the detail and depth of spatial single-cell transcriptomics datasets by inferring inter-cellular communications, but no methods to integrate CCI results across samples exist currently. To address this, we have developed a computational pipeline, Multimodal (MMCCI), statistically analyze from existing popular tools. We benchmarked MMCCI’s integration on found it be highly accurate compared simpler methods....
Abstract The ability to spatially measure multi-modal data provides an unprecedented opportunity comprehensively explore molecular regulation at transcriptional, translational and metabolic levels acquire insights on cellular activities underpinning health disease. However, there is currently a lack of analytical tools integrate complementary information across different spatial-omics modalities, particularly with respect spatial metabolomics data, which becoming increasingly invaluable. We...
The term "competitive advantage" lacks a standard definition in the extant literature. In order to conduct future empirical studies, it is necessary choose an appropriate of competitive advantage. This study provides comprehensive review advantages by analysing scientific database Web Science from 1954 up 2021. finding that there are three views over advantages: Resource-based View, Competence-based Relationship and networks-based View. findings this critical for research, particularly terms...
The performance of an audio-visual sound source separation system is determined by its ability to separate audio sources given the images and mixture. goal this study investigate learn mapping between sounds instruments in self-supervisied mix-and-seperate training paradigm used state-of-the-art methods. Theoretical empirical analyses illustrate that self-supervised mix-and-separate does not automatically 1-to-1 correspondence visual signals, leading low object classification accuracy. Based...