Demo Data from SIGIR 2026 / reviewers in the wild / expert
Janko Dietzsch
dblp:57/4993
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression analysis |
0.1 | 1 | 2006 | Mayday-a microarray data analysis workbench · Bioinform. 2006 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 1 | 2006 | Mayday-a microarray data analysis workbench · Bioinform. 2006 |
Data mining › predictive modeling
classification |
0.0 | 1 | 2006 | Mayday-a microarray data analysis workbench · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.1clustering · 0.1classification · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Mayday-a microarray data analysis workbenchabstractUNLABELLED: Mayday is a workbench for visualization, analysis and storage of microarray data. It features a graphical user interface and supports the development and integration of existing and new analysis methods. Besides the infrastructural core functionality, Mayday offers a variety of plug-ins, such as various interactive viewers, a connection to the R statistical environment, a connection to SQL-based databases and different data mining methods, including WEKA-library based methods for classification and various clustering methods. In addition, so-called meta information objects are provided for annotation of the microarray data allowing integration of data from different sources, which is a feature that, for instance, is employed in the enhanced heatmap visualization. SUPPLEMENTARY INFORMATION: The software and more detailed information including screenshots and a user guide as well as test data can be found on the Mayday home page http://www.zbit.uni-tuebingen.de/pas/mayday. The core is published under the GPL (GNU Public License) and the associated plug-ins under the LGPL (Lesser GNU Public License). Janko Dietzsch, Nils Gehlenborg, Kay Nieselt |
Bioinform. | 1 |