Demo Data from SIGIR 2026 / reviewers in the wild / expert
Laetitia Marisa
dblp:55/5652
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—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% |
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 › gene expression analysis
microarray data analysis |
0.1 | 1 | 2007 | MAnGO: an interactive R-based tool for two-colour microarray analysis · Bioinform. 2007 |
Bioinformatics and computational biology › gene expression analysis
differential expression analysis |
0.0 | 1 | 2007 | MAnGO: an interactive R-based tool for two-colour microarray analysis · Bioinform. 2007 |
Methods — techniques the papers use, named apart from their topics
normalization · 0.1filtering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | MAnGO: an interactive R-based tool for two-colour microarray analysisabstractUNLABELLED: MAnGO (Microarray Analysis at the Gif/Orsay platform) is an interactive R-based tool for the analysis of two-colour microarray experiments. It is a compilation of various methods, which allows the user (1) to control data quality by detecting biases with a large number of visual representations, (2) to pre-process data (filtering and normalization) and (3) to carry out differential analyses. MAnGO is not only a 'turn-key' tool, oriented towards biologists but also a flexible and adaptable R script oriented towards bioinformaticians. AVAILABILITY: http://bioinfome.cgm.cnrs-gif.fr/. Laetitia Marisa, Jean-Laurent Ichanté, Nancie Reymond, Lawrence Aggerbeck, Hervé Delacroix, Marie-Hélène Mucchielli-Giorgi |
Bioinform. | 1 |