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EDBT 2026 Demo / reviewers in the wild / expert

Lauren Chong

dblp:158/8428 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › single-cell analysis
cell population identification		 0.212015
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification · Bioinform. 2015
Bioinformatics and computational biology › single-cell analysis
cytometry data analysis		 0.212015
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification · Bioinform. 2015
Bioinformatics and computational biology › drug discovery
high-throughput screening		 0.112015
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

density-based gating · 0.2
YearPublicationVenuePosition
2015 flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification
abstract
SUMMARY: flowDensity facilitates reproducible, high-throughput analysis of flow cytometry data by automating a predefined manual gating approach. The algorithm is based on a sequential bivariate gating approach that generates a set of predefined cell populations. It chooses the best cut-off for individual markers using characteristics of the density distribution. The Supplementary Material is linked to the online version of the manuscript. AVAILABILITY AND IMPLEMENTATION: R source code freely available through BioConductor (http://master.bioconductor.org/packages/devel/bioc/html/flowDensity.html.). Data available from FlowRepository.org (dataset FR-FCM-ZZBW). CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Mehrnoush Malek, Mohammad Jafar Taghiyar, Lauren Chong, Greg Finak, Raphael Gottardo, Ryan Remy Brinkman
 Bioinform.3