Demo Data from EDBT 2026 / reviewers in the wild / expert
Amanda Dziedzic
dblp:41/9445
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · unresolved
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 › genomics › structural variation
copy number variant analysis |
0.1 | 1 | 2011 | Performance assessment of copy number microarray platforms using a spike-in experiment · Bioinform. 2011 |
Bioinformatics and computational biology
genomics |
0.1 | 1 | 2011 | Performance assessment of copy number microarray platforms using a spike-in experiment · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
spike-in experiment · 0.1sensitivity and specificity analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Performance assessment of copy number microarray platforms using a spike-in experimentabstractMOTIVATION: Changes in the copy number of chromosomal DNA segments [copy number variants (CNVs)] have been implicated in human variation, heritable diseases and cancers. Microarray-based platforms are the current established technology of choice for studies reporting these discoveries and constitute the benchmark against which emergent sequence-based approaches will be evaluated. Research that depends on CNV analysis is rapidly increasing, and systematic platform assessments that distinguish strengths and weaknesses are needed to guide informed choice. RESULTS: We evaluated the sensitivity and specificity of six platforms, provided by four leading vendors, using a spike-in experiment. NimbleGen and Agilent platforms outperformed Illumina and Affymetrix in accuracy and precision of copy number dosage estimates. However, Illumina and Affymetrix algorithms that leverage single nucleotide polymorphism (SNP) information make up for this disadvantage and perform well at variant detection. Overall, the NimbleGen 2.1M platform outperformed others, but only with the use of an alternative data analysis pipeline to the one offered by the manufacturer. AVAILABILITY: The data is available from http://rafalab.jhsph.edu/cnvcomp/. CONTACT: [email protected]; [email protected]; [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Eitan Halper-Stromberg, Laurence Frelin, Ingo Ruczinski, Robert B. Scharpf, Chunfa Jie, Benilton S. Carvalho, Haiping Hao, Kurt N. Hetrick, Anne Jedlicka, Amanda Dziedzic, Kim Doheny, Alan F. Scott, Steve Baylin, Jonathan Pevsner, Forrest Spencer, Rafael A. Irizarry |
Bioinform. | 10 |