Research & Publications
Most of the members of this group are from the Statistics Section and Biomaths research group of the Department of Mathematics. Below you can find a list of research areas that members of this group are currently working on and/or would like to work on by applying their developed mathematical and statistical methods.
Research areas
Research areas
- Systems Biology
- Statistical genomics and Epidemiology
- Medical Imaging
- Precision and Stratified Medicine
- Analysis of clinical trials, observational and longitudinal studies
- Infectious Disease Epidemiology
Publications
Results
- Showing results for:
- Reset all filters
Search results
-
Journal articleNasser S, Lazaridis A, Evangelou M, et al., 2016,
Correlation of pre-operative CT findings with surgical & histological tumor dissemination patterns at cytoreduction for primary advanced and relapsed epithelial ovarian cancer: A retrospective evaluation
, Gynecologic Oncology, Vol: 143, Pages: 264-269, ISSN: 1095-6859ObjectivesComputed tomography (CT) is an essential part of preoperative planning prior to cytoreductive surgery for primary and relapsed epithelial ovarian cancer (EOC). Our aim is to correlate pre-operative CT results with intraoperative surgical and histopathological findings at debulking surgery.MethodsWe performed a systematic comparison of intraoperative tumor dissemination patterns and surgical resections with preoperative CT assessments of infiltrative disease at key resection sites, in women who underwent multivisceral debulking surgery due to EOC between January 2013 and December 2014 at a tertiary referral center. The key sites were defined as follows: diaphragmatic involvement(DI), splenic disease (SI), large (LBI) and small (SBI) bowel involvement, rectal involvement (RI), porta hepatis involvement (PHI), mesenteric disease (MI) and lymph node involvement (LNI).ResultsA total of 155 patients, mostly with FIGO stage IIIC disease (65%) were evaluated (primary = 105, relapsed = 50). Total macroscopic cytoreduction rates were: 89%. Pre-operative CT findings displayed high specificity across all tumor sites apart from the retroperitoneal lymph node status, with a specificity of 65%.The ability however of the CT to accurately identify sites affected by invasive disease was relatively low with the following sensitivities as relating to final histology:32% (DI), 26% (SI), 46% (LBI), 44% (SBI), 39% (RI), 57% (PHI), 31% (MI), 63% (LNI).ConclusionPre-operative CT imaging shows high specificity but low sensitivity in detecting tumor involvement at key sites in ovarian cancer surgery. CT findings alone should not be used for surgical decision making.
-
Journal articleNieto-Reyes A, Battey H, 2016,
A topologically valid definition of depth for functional data
, Statistical Science, Vol: 31, Pages: 61-79The main focus of this work is on providing a formal definition of statistical depth for functional data on the basis of six properties, recognising topological features such as continuity, smoothness and contiguity. Amongst our depth defining properties is one that addresses the delicate challenge of inherent partial observability of functional data, with fulfillment giving rise to a minimal guarantee on the performance of the empirical depth beyond the idealised and practically infeasible case of full observability. As an incidental product, functional depths satisfying our definition achieve a robustness that is commonly ascribed to depth, despite the absence of a formal guarantee in the multivariate definition of depth. We demonstrate the fulfillment or otherwise of our properties for six widely used functional depth proposals, thereby providing a systematic basis for selection of a depth function.
-
Journal articleFilippi S, Barnes CP, Kirk PDW, et al., 2016,
Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling
, CellReports -
Journal articleCohen E, Kim D, Ober RJ, 2015,
The Cramer Rao lower bound for point based image registration with heteroscedastic error model for application in single molecule microscopy
, IEEE Transactions on Medical Imaging, Vol: 34, Pages: 2632-2644, ISSN: 1558-254X -
Journal articleDopico XC, Evangelou M, Ferreira RC, et al., 2015,
Widespread seasonal gene expression reveals annual differences in human immunity and physiology
, Nature Communications, Vol: 6, ISSN: 2041-1723Seasonal variations are rarely considered a contributing component to human tissue function or health, although many diseases and physiological process display annual periodicities. Here we find more than 4,000 protein-coding mRNAs in white blood cells and adipose tissue to have seasonal expression profiles, with inverted patterns observed between Europe and Oceania. We also find the cellular composition of blood to vary by season, and these changes, which differ between the United Kingdom and The Gambia, could explain the gene expression periodicity. With regards to tissue function, the immune system has a profound pro-inflammatory transcriptomic profile during European winter, with increased levels of soluble IL-6 receptor and C-reactive protein, risk biomarkers for cardiovascular, psychiatric and autoimmune diseases that have peak incidences in winter. Circannual rhythms thus require further exploration as contributors to various aspects of human physiology and disease.
-
Journal articleHeywood J, Evangelou M, Goymer D, et al., 2015,
Effective recruitment of participants to a phase I study using the internet and publicity releases through charities and patient organisations: analysis of the adaptive study of IL-2 dose on regulatory T cells in type 1 diabetes (DILT1D)
, TRIALS, Vol: 16, ISSN: 1745-6215- Author Web Link
- Cite
- Citations: 8
-
Journal articleTruman LA, Pekalski ML, Kareclas P, et al., 2015,
Protocol of the adaptive study of IL-2 dose frequency on regulatory T cells in type 1 diabetes (DILfrequency): a mechanistic, non-randomised, repeat dose, open-label, response-adaptive study
, BMJ OPEN, Vol: 5, ISSN: 2044-6055- Author Web Link
- Cite
- Citations: 14
-
Journal articleBhatnagar N, Perkins K, Filippi S, et al., 2014,
Clinical and Hematologic Impact of Fetal and Perinatal Variables on Mutant GATA1 Clone Size in Neonates with Down Syndrome
, BLOOD, Vol: 124, ISSN: 0006-4971 -
Journal articleEvangelou M, Smyth DJ, Fortune MD, et al., 2014,
A Method for Gene-Based Pathway Analysis Using Genomewide Association Study Summary Statistics Reveals Nine New Type 1 Diabetes Associations
, GENETIC EPIDEMIOLOGY, Vol: 38, Pages: 661-670, ISSN: 0741-0395- Author Web Link
- Cite
- Citations: 41
-
Journal articleMacLean AL, Filippi S, Stumpf MPH, 2014,
The ecology in the hematopoietic stem cell niche determines the clinical outcome in chronic myeloid leukemia
, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 111, Pages: 3883-3888, ISSN: 0027-8424- Author Web Link
- Cite
- Citations: 32
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.