Demo Data from EDBT 2026 / reviewers in the wild / expert
John W. Newman
dblp:118/0848
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0001-9632-6571ORCID · reported
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
omics data analysis |
0.1 | 1 | 2012 | imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
principal component analysis · 0.1partial least squares regression · 0.1independent component analysis · 0.1hierarchical clustering · 0.1discriminant analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | imDEV: a graphical user interface to R multivariate analysis tools in Microsoft ExcelabstractUNLABELLED: Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. AVAILABILITY AND IMPLEMENTATION: Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010). Dmitry Grapov, John W. Newman |
Bioinform. | 2 |