A5020720612- Gene expression and cancer classification
- Mathematical Dynamics and Fractals
- Stochastic processes and statistical mechanics
- Medical Image Segmentation Techniques
- Dementia and Cognitive Impairment Research
- Theoretical and Computational Physics
- Metalloenzymes and iron-sulfur proteins
- Sleep and related disorders
- Statistical Methods and Inference
- Decision-Making and Behavioral Economics
- Bioinformatics and Genomic Networks
- Medical Imaging Techniques and Applications
- Molecular Biology Techniques and Applications
- Advanced X-ray and CT Imaging
- Housing Market and Economics
- Sleep and Work-Related Fatigue
- Advanced Neuroimaging Techniques and Applications
- Circadian rhythm and melatonin
- Smart Agriculture and AI
- Enzyme function and inhibition
- Lymphoma Diagnosis and Treatment
- Advanced Electron Microscopy Techniques and Applications
- Radiation Dose and Imaging
- Genetics, Bioinformatics, and Biomedical Research
- Functional Brain Connectivity Studies
University of Warwick
2016-2025
The Alan Turing Institute
2019-2025
Inserm
2021
Turing Institute
2019-2020
Queen's University
2006-2011
Walter and Eliza Hall Institute of Medical Research
2008
Kingston Health Sciences Centre
2008
Brigham and Women's Hospital
2005
Harvard University
2005
University of California, Berkeley
2004
Quality assessment for short oligonucleotide microarray
<ns4:p>Artificial Intelligence (AI) is increasingly used within plant science, yet it far from being routinely and effectively implemented in this domain. Particularly relevant to the development of novel food agricultural technologies validated, meaningful usable ways integrate, compare visualise large, multi-dimensional datasets different sources scientific approaches. After a brief summary reasons for interest data science AI paper identifies discusses eight key challenges management that...
ABSTRACT Serial block face scanning electron microscopy (SBF-SEM) is a powerful method to analyze cells in 3D. Here, working at the resolution limit of method, we describe correlative light–SBF-SEM workflow resolve microtubules mitotic spindle human cells. We present four examples uses for this that are not practical by light and/or transmission microscopy. First, distinguishing closely associated within K-fibers; second, resolving bridging fibers spindle; third, visualizing membranes cells,...
Telemonitoring of circadian and sleep cycles could identify shift workers at increased risk poor health, including cancer cardiovascular diseases, thus supporting personalized prevention.
Prediction of subject age from brain anatomical MRI has the potential to provide a sensitive summary changes, indicative different neurodegenerative diseases. However, existing studies typically neglect uncertainty these predictions. In this work we take into account by applying methods functional data analysis. We propose penalised quantile regression model on structure with cognitively normal (CN) subjects in Alzheimer's Disease Neuroimaging Initiative (ADNI), and use it predict Mild...
The dichotomy index (I < O), a quantitative estimate of the circadian regulation daytime activity and sleep, predicted overall cancer survival emergency hospitalization, supporting its integration in mHealth platform. Modifiable causes I O deterioration below 97.5%—(I O)low—were sought 25 gastrointestinal patients 33 age- sex-stratified controls. Rest-activity temperature were tele-monitored with wireless chest sensor, while daily activities, meals, sleep self-reported for one week....
Macrophages are important innate immune cells that respond rapidly to inflammatory cues and fulfill diverse functions in the activation, execution resolution of responses. Currently, there is no comprehensive understanding combinatorial effect mRNA modifications a single cell type, consequences for processing metabolism, how these changes affect physiology. We use mouse macrophage line RAW264.7 (RAW) systematically address two major during stimulation: adenosine inosine deamination (A>I),...
Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth, but they exhibit (especially diseased groups) higher values some regions called lateral ventricles. More specifically, our voxelwise analysis shows both mean-variance relationship these areas and evidence of spatially dependent skewness. We propose model for three-dimensional imaging data where mean, variance skewness functions vary smoothly across...
In an effort to understand the complexity of genomic responses within selectively vulnerable regions after experimental brain injury, we examined whether single apoptotic neurons from both CA3 and dentate differed those in uninjured brain. The mRNA individual active caspase 3(+)/terminal deoxynucleotidyl transferase-mediated biotinylated UTP nick end labeling [TUNEL(–)] 3(+)/TUNEL(+) pyramidal granule brain-injured mice were amplified compared with nonlabeled brains. Gene analysis revealed...
Abstract The inherited cancer syndrome multiple endocrine neoplasia type 2 (MEN 2) is caused by mutations of the RET receptor tyrosine kinase and characterized medullary thyroid carcinoma. MEN subtypes have distinct mutational spectrums vary in severity. most severe disease subtype, 2B, associated with a specific mutation (M918T) that has been predicted to alter downstream signaling target gene expression patterns. We used microarray analysis identify genes modulated RET. compared two...
<ns4:p>Artificial Intelligence (AI) is increasingly used within plant science, yet it far from being routinely and effectively implemented in this domain. Particularly relevant to the development of novel food agricultural technologies validated, meaningful usable ways integrate, compare visualise large, multi-dimensional datasets different sources scientific approaches. After a brief summary reasons for interest data science AI paper identifies discusses eight key challenges management that...
BACKGROUND: In computed tomography (CT), the spot geometry is one of main sources error in CT images.Since X-rays do not arise from a point source, artefacts are produced.In particular there penumbra effect, leading to poorly defined edges within reconstructed volume.Penumbra models can be simulated given fixed and known experimental setup.OBJECTIVE: This paper proposes use model, derived Beer's law, both confirm data, quantify blurring image.METHODS: Two for considered; consists single...
Background: Gastric cancer (GC) is the fourth commonest worldwide, with second highest mortality rate. Its poor linked to delayed presentation. There a drive towards non-invasive biomarker screening and monitoring of many different types cancer, although limited success so far. We aimed determine if any genes from 32-gene panel could be used GC prognosis. Methods: carried out retrospective study on expression 32 genes, selected for their proven or potential links GC, historic formalin fixed...
Consider a class of skew product transformations consisting ofan ergodic or periodic transformation on probability space $(M, \B,\mu)$ in thebase and semigroup another (Ω,$\F,P)$in the fibre. Under suitable mixing conditions for fibre transformation,we show that properties ergodicity, weakly mixing, strongly mixingare passed from base to (with respect tothe measure). We derive theorems with producton space. The main aim this paper is establish uniform convergence respectto variable series...
Abstract Serial block face scanning electron microscopy (SBF-SEM) is a powerful method to analyze cells in 3D. Here, working at the resolution limit of method, we describe correlative light-SBF-SEM workflow resolve microtubules mitotic spindle human cells. We present three examples uses for this which are not practical by light and/or TEM. First, distinguishing closely associated within K-fibers; second, resolving bridging fibers spindle; third, visualizing membranes cells, relative...
We propose an extension to the concept of disposition effect by allowing use alternative reference points. While traditional definition is based on classifying stocks as winners and losers solely purchase price, we incorporate stock prices closer sell date into construction point. study these concepts in a large individual trader dataset. Using average last five trading day point, find reduction 71%. It decreases further for investors who trade more whose episodes are shorter. This opens up...
Purpose In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application projects is still lagging behind other disciplines. This paper aims provide review current use delivery encompassing both academic research and practice accelerate understanding this formulate questions goals for future research. Design/methodology/approach We propose achieve aim through creation systematic status Fusing methodology...