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Stefan C. Dentro

dblp:271/0491 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-0478-9729ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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
cancer genomics
0.812024
AmplificationTimeR: an R package for timing sequential amplification events · Bioinform. 2024
Bioinformatics and computational biology › cancer genomics
copy number analysis
0.812024
AmplificationTimeR: an R package for timing sequential amplification events · Bioinform. 2024
Bioinformatics and computational biology › cancer genomics
tumor evolution
0.812024
AmplificationTimeR: an R package for timing sequential amplification events · Bioinform. 2024

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

whole genome duplication modeling · 0.8maximum parsimony · 0.8
YearPublicationVenuePosition
2024 AmplificationTimeR: an R package for timing sequential amplification events
abstract
MOTIVATION: Few methods exist for timing individual amplification events in regions of focal amplification. Current methods are also limited in the copy number states that they are able to time. Here we introduce AmplificationTimeR, a method for timing higher level copy number gains and inferring the most parsimonious order of events for regions that have undergone both single gains and whole genome duplication. Our method is an extension of established approaches for timing genomic gains. RESULTS: We can time more copy number states, and in states covered by other methods our results are comparable to previously published methods. AVAILABILITY AND IMPLEMENTATION: AmplificationTimer is freely available as an R package hosted at https://github.com/Wedge-lab/AmplificationTimeR.
G. Maria Jakobsdottir, Stefan C. Dentro, Robert G. Bristow, David C. Wedge
Bioinform.2