EDBT 2026 Demo / reviewers in the wild / expert
Frank J. Sørensen
dblp:80/1832
· 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › cancer genomics
copy number analysis |
0.1 | 1 | 2007 | SNPTools: a software tool for visualization and analysis of microarray data · Bioinform. 2007 |
Bioinformatics and computational biology › cancer genomics › chromosomal aberration detection
loss of heterozygosity detection |
0.1 | 1 | 2007 | SNPTools: a software tool for visualization and analysis of microarray data · Bioinform. 2007 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 1 | 2007 | SNPTools: a software tool for visualization and analysis of microarray data · Bioinform. 2007 |
Bioinformatics and computational biology › genomics
genome visualization |
0.0 | 1 | 2007 | SNPTools: a software tool for visualization and analysis of microarray data · Bioinform. 2007 |
Methods — techniques the papers use, named apart from their topics
segmentation · 0.1intensity analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | SNPTools: a software tool for visualization and analysis of microarray dataabstractSUMMARY: We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs. AVAILABILITY: The software, example data sets and tutorials are freely available from http://www.birc.au.dk/snptools Frank J. Sørensen, Claus L. Andersen, Carsten Wiuf |
Bioinform. | 1 |