Demo Data from EDBT 2026 / reviewers in the wild / expert
Julie C. Lloyd
dblp:75/5061
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—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 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 |
0.1 | 1 | 2005 | Oligonucleotide arrays: information from replication and spatial structure · Bioinform. 2005 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 1 | 2005 | Oligonucleotide arrays: information from replication and spatial structure · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
replicate analysis · 0.1local scaling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Oligonucleotide arrays: information from replication and spatial structureabstractMOTIVATION: The introduction of oligonucleotide DNA arrays has resulted in much debate concerning appropriate models for the measurement of gene expression. By contrast, little account has been taken of the possibility of identifying the physical imperfections in the raw data. RESULTS: This paper demonstrates that, with the use of replicates and an awareness of the spatial structure, deficiencies in the data can be identified, the possibility of their correction can be ascertained and correction can be effected (by use of local scaling) where possible. The procedures were motivated by data from replicates of Arabidopsis thaliana using the GeneChip ATH1-121501 microarray. Similar problems are illustrated for GeneChip Human Genome U133 arrays and for the newer and larger GeneChip Wheat Genome microarray. AVAILABILITY: R code is freely available on request. Graham J. G. Upton, Julie C. Lloyd |
Bioinform. | 2 |