Demo Data from EDBT 2026 / reviewers in the wild / expert
Rosanne McQuaid
dblp:179/5804
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics › live cell imaging analysis
cell motility analysis |
0.2 | 1 | 2016 | Robust quantitative scratch assay · Bioinform. 2016 |
Bioinformatics and computational biology › population genetics › population parameter estimation
migration rate estimation |
0.2 | 1 | 2016 | Robust quantitative scratch assay · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
statistical estimation · 0.2outlier detection · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Robust quantitative scratch assayabstractUNLABELLED: The wound healing assay (or scratch assay) is a technique frequently used to quantify the dependence of cell motility-a central process in tissue repair and evolution of disease-subject to various treatments conditions. However processing the resulting data is a laborious task due its high throughput and variability across images. This Robust Quantitative Scratch Assay algorithm introduced statistical outputs where migration rates are estimated, cellular behaviour is distinguished and outliers are identified among groups of unique experimental conditions. Furthermore, the RQSA decreased measurement errors and increased accuracy in the wound boundary at comparable processing times compared to previously developed method (TScratch). AVAILABILITY AND IMPLEMENTATION: The RQSA is freely available at: http://ophid.utoronto.ca/RQSA/RQSA_Scripts.zip The image sets used for training and validation and results are available at: (http://ophid.utoronto.ca/RQSA/trainingSet.zip, http://ophid.utoronto.ca/RQSA/validationSet.zip, http://ophid.utoronto.ca/RQSA/ValidationSetResults.zip, http://ophid.utoronto.ca/RQSA/ValidationSet_H1975.zip, http://ophid.utoronto.ca/RQSA/ValidationSet_H1975Results.zip, http://ophid.utoronto.ca/RQSA/RobustnessSet.zip, http://ophid.utoronto.ca/RQSA/RobustnessSet.zip). Supplementary Material is provided for detailed description of the development of the RQSA. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Andrea Vargas, Marc Angeli, Chiara Pastrello, Rosanne McQuaid, Andrea Jurisicova, Igor Jurisica |
Bioinform. | 4 |