Demo Data from VLDB 2026 / reviewers in the wild / expert
Jerry Nedelman
dblp:237/0784
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1992
—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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene expression analysis › gene expression quantification
qPCR data analysis |
0.0 | 1 | 1992 | Quantitative PCR with internal controls · Comput. Appl. Biosci. 1992 |
Methods — techniques the papers use, named apart from their topics
confidence interval estimation · 0.0branching-process model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Quantitative PCR with internal controlsabstractWe examine the use of internal controls for estimating the expected initial copy number of the target in a polymerase chain reaction (PCR). We base our investigation on an extended branching-process model. In terms of that model, we delineate the necessary assumptions for this methodology to yield approximately unbiased answers, and we provide means for testing some of those assumptions. We show how to design a series of PCRs to attain optimal precision of the estimate. We provide an algorithm for conducting the statistical analysis of the data, including a formula for a confidence interval for the unknown expected initial copy number. Jerry Nedelman, Patrick Heagerty, Charles Lawrence |
Comput. Appl. Biosci. | 1 |