Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers

Autor: Gerrit Jansen, Jacqueline Cloos, Robert de Jonge, Marry Lin, Michel van Elswijk, Anna Wojtuszkiewicz, Peter Kampstra, IB Muller, Stijn Meijers, Steven van Dijk

Publikováno v: BMC Bioinformatics, 22(1). BioMed Central
BMC Bioinformatics
Muller, I B, Meijers, S, Kampstra, P, van Dijk, S, van Elswijk, M, Lin, M, Wojtuszkiewicz, A M, Jansen, G, de Jonge, R & Cloos, J 2021, ' Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers ', BMC Bioinformatics, vol. 22, no. 1, pp. 347 . https://doi.org/10.1186/s12859-021-04263-9
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)

Background Computational tools analyzing RNA-sequencing data have boosted alternative splicing research by identifying and assessing differentially spliced genes. However, common alternative splicing analysis tools differ substantially in their stati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2597af6de800650a0b1ea4e4e19ac15
https://doi.org/10.1186/s12859-021-04263-9

Towards an evaluation of quality for names placement methods

Autor: Alexander Wolff, Steven van Dijk, Tycho Strijk, Marc van Kreveld

Publikováno v: International Journal of Geographical Information Science, 16(7), 641-661. Taylor and Francis Ltd.

The cartographic labelling problem is the problem of placing text on a map. This includes the positioning of the labels, and determining the shape in the case of line and area feature labels. There are many rules and customs that describe aspects of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d69180a1f964a249baddd217ccef50
https://research.tue.nl/en/publications/03b672e1-94ed-4d0b-8519-d5be04eff01d

On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA

Autor: Dirk Thierens, Steven van Dijk

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540230922
PPSN

We study the impact of the choice of search space for a GA that learns Bayesian networks from data. The most convenient search space is redundant and therefore allows for multiple representations of the same solution and possibly disruption during cr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12f83000863f174d0fac30349e8c911d
https://doi.org/10.1007/978-3-540-30217-9_15

A Skeleton-Based Approach to Learning Bayesian Networks from Data

Autor: Linda C. van der Gaag, Steven van Dijk, Dirk Thierens

Publikováno v: Knowledge Discovery in Databases: PKDD 2003 ISBN: 9783540200857
PKDD

Various different algorithms for learning Bayesian networks from data have been proposed to date. In this paper, we adopt a novel approach that combines the main advantages of these algorithms yet avoids their difficulties. In our approach, first an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65b56061d79e92a1282ee5babe7d3b05
https://doi.org/10.1007/978-3-540-39804-2_14