Demo Data from SIGIR 2026 / reviewers in the wild / expert
Matteo Cesaroni
dblp:75/7067
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · unresolved
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › epigenomics
ChIP-chip analysis |
0.1 | 1 | 2008 | CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data · Bioinform. 2008 |
Bioinformatics and computational biology
gene expression analysis |
0.1 | 1 | 2008 | CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data · Bioinform. 2008 |
Bioinformatics and computational biology › gene expression analysis › microarray data analysis
tiling array analysis |
0.1 | 1 | 2008 | CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
quality control · 0.1normalization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | CARPET: a web-based package for the analysis of ChIP-chip and expression tiling dataabstractSUMMARY: CARPET (collection of automated routine programs for easy tiling) is a set of Perl, Python and R scripts, integrated on the Galaxy2 web-based platform, for the analysis of ChIP-chip and expression tiling data, both for standard and custom chip designs. CARPET allows rapid experimental data entry, simple quality control, normalization, easy identification and annotation of enriched ChIP-chip regions, detection of the absolute or relative transcriptional status of genes assessed by expression tiling experiments and, more importantly, it allows the integration of ChIP-chip and expression data. Results can be visualized instantly in a genomic context within the UCSC genome browser as graph-based custom tracks through Galaxy2. All generated and uploaded data can be stored within sessions and are easily shared with other users. AVAILABILITY: http://bio.ifom-ieo-campus.it/galaxy Matteo Cesaroni, Davide Cittaro, Alessandro Brozzi, Pier Giuseppe Pelicci, Lucilla Luzi |
Bioinform. | 1 |