Demo Data from VLDB 2026 / reviewers in the wild / expert
Joseph N. Brown
dblp:118/6104
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
proteomics |
0.1 | 1 | 2012 | DanteR: an extensible R-based tool for quantitative analysis of -omics data · Bioinform. 2012 |
Bioinformatics and computational biology › proteomics
quantitative proteomics |
0.1 | 1 | 2012 | DanteR: an extensible R-based tool for quantitative analysis of -omics data · Bioinform. 2012 |
Bioinformatics and computational biology
omics data analysis |
0.0 | 1 | 2012 | DanteR: an extensible R-based tool for quantitative analysis of -omics data · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.1normalization · 0.1imputation · 0.1hypothesis testing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | DanteR: an extensible R-based tool for quantitative analysis of -omics dataabstractMOTIVATION: The size and complex nature of mass spectrometry-based proteomics datasets motivate development of specialized software for statistical data analysis and exploration. We present DanteR, a graphical R package that features extensive statistical and diagnostic functions for quantitative proteomics data analysis, including normalization, imputation, hypothesis testing, interactive visualization and peptide-to-protein rollup. More importantly, users can easily extend the existing functionality by including their own algorithms under the Add-On tab. AVAILABILITY: DanteR and its associated user guide are available for download free of charge at http://omics.pnl.gov/software/. We have an updated binary source for the DanteR package up on our website together with a vignettes document. For Windows, a single click automatically installs DanteR along with the R programming environment. For Linux and Mac OS X, users must install R and then follow instructions on the DanteR website for package installation. CONTACT: [email protected]. Thomas Taverner, Yuliya V. Karpievitch, Ashoka D. Polpitiya, Joseph N. Brown, Alan R. Dabney, Gordon A. Anderson, Richard D. Smith |
Bioinform. | 4 |