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Sebastian J. Teran Hidalgo

dblp:191/4269 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
multi-omics
0.412020
NCutYX: a package for clustering analysis of multilayer omics data · Bioinform. 2020
Bioinformatics and computational biology › gene expression analysis
biclustering
0.112020
NCutYX: a package for clustering analysis of multilayer omics data · Bioinform. 2020

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

normalized cut · 0.4
YearPublicationVenuePosition
2020 NCutYX: a package for clustering analysis of multilayer omics data
abstract
SUMMARY: Multilayer omics profiling has become a major venue for understanding complex diseases. We develop NCutYX, an R package for clustering analysis of multilayer omics data. The package and methods jointly analyze multiple layers of omics measurements and effectively accommodate their regulations. They systematically conduct a series of analysis based on the normalized cut technique, including the clusterings of subjects and omics measurements and biclustering. The package can be valuable for its timely context, novel methods, and comprehensiveness. AVAILABILITY: https://cran.r-project.org/web/packages/NCutYX/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sebastian J. Teran Hidalgo, Mengyun Wu, Shuangge Ma
Bioinform.1