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Yeunjoo E. Song

dblp:224/2688 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7452-3731ORCID · reported

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › genetic association study
family-based association test
0.312018
ONETOOL for the analysis of family-based big data · Bioinform. 2018
Bioinformatics and computational biology › statistical genetics
genetic association study
0.312018
ONETOOL for the analysis of family-based big data · Bioinform. 2018
Bioinformatics and computational biology › sequence analysis
sequencing data analysis
0.112018
ONETOOL for the analysis of family-based big data · Bioinform. 2018

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

family-based association methods · 0.3
YearPublicationVenuePosition
2018 ONETOOL for the analysis of family-based big data
abstract
Motivation: Despite the need for separate tools to analyze family-based data, there are only a handful of tools optimized for family-based big data compared to the number of tools available for analyzing population-based data. Results: ONETOOL implements the properties of well-known existing family data analysis tools and recently developed methods in a computationally efficient manner, and so is suitable for analyzing the vast amount of variant data available from sequencing family members, providing a rich choice of analysis methods for big data on families. Availability and implementation: ONETOOL is freely available from http://healthstat.snu.ac.kr/software/onetool/. Supplementary information: Supplementary data are available at Bioinformatics online.
Yeunjoo E. Song, Sungyoung Lee 0002, Kyungtaek Park, Robert C. Elston, Hyeon-Jong Yang, Sungho Won
Bioinform.1