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Sjoerd J. Vosse

dblp:47/3995 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis › microarray data analysis
array comparative genomic hybridization
0.112007
CGHcall: calling aberrations for array CGH tumor profiles · Bioinform. 2007
Bioinformatics and computational biology › cancer genomics › chromosomal aberration detection
copy number aberration detection
0.112007
CGHcall: calling aberrations for array CGH tumor profiles · Bioinform. 2007

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

segmentation · 0.1chromosome arm information · 0.1breakpoint information · 0.1statistical testing · 0.1expression array · 0.1array CGH · 0.1
YearPublicationVenuePosition
2007 CGHcall: calling aberrations for array CGH tumor profiles
abstract
UNLABELLED: CGHcall achieves high calling accuracy for array CGH data by effective use of breakpoint information from segmentation and by inclusion of several biological concepts that are ignored by existing algorithms. The algorithm is validated for simulated and verified real array CGH data. By incorporating more than three classes, CGHcall improves detection of single copy gains and amplifications. Moreover, it allows effective inclusion of chromosome arm information. AVAILABILITY: An R-package (GUI), a manual and an example data set are available at http://www.few.vu.nl/~mavdwiel/CGHcall.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Mark A. van de Wiel, Kyung In Kim, Sjoerd J. Vosse, Wessel N. van Wieringen, Saskia M. Wilting, Bauke Ylstra
Bioinform.3
2006 ACE-it: a tool for genome-wide integration of gene dosage and RNA expression data
abstract
Abstract Summary: We describe a tool, called ACE-it (Array CGH Expression integration tool). ACE-it links the chromosomal position of the gene dosage measured by array CGH to the genes measured by the expression array. ACE-it uses this link to statistically test whether gene dosage affects RNA expression. Availability: ACE-it is freely available at Contact: [email protected] Supplementary Information: Programs, the manual and supplementary information are available on the website.
Wessel N. van Wieringen, Jeroen Beliën, Sjoerd J. Vosse, Eskeatnaf M. Achame, Bauke Ylstra
Bioinform.3