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of 11
pro vyhledávání: '"Bertjan Broeksema"'
Autor:
Bertjan Broeksema, Magdalena Calusinska, Fintan McGee, Klaas Winter, Francesco Bongiovanni, Xavier Goux, Paul Wilmes, Philippe Delfosse, Mohammad Ghoniem
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-12 (2017)
Abstract Background Recent advances in high-throughput sequencing allow for much deeper exploitation of natural and engineered microbial communities, and to unravel so-called “microbial dark matter” (microbes that until now have evaded cultivatio
Externí odkaz:
https://doaj.org/article/16292ae155c5497381dbeb7a937a4da0
Publikováno v:
Neurocomputing. 150:627-644
This paper describes Cluster Sculptor, a novel interactive clustering system that allows a user to iteratively update the cluster labels of a data set, and an associated low-dimensional projection. The system is fed by clustering results computed in
Autor:
Philippe Delfosse, Bertjan Broeksema, Xavier Goux, Magdalena Calusinska, Francesco Bongiovanni, Fintan McGee, Klaas Winter, Paul Wilmes, Mohammad Ghoniem
Publikováno v:
BMC Bioinformatics
Bmc Bioinformatics, 18:233. BioMed Central Ltd.
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-12 (2017)
BMC bioinformatics, 18(1), 233. England (2017).
Bmc Bioinformatics, 18:233. BioMed Central Ltd.
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-12 (2017)
BMC bioinformatics, 18(1), 233. England (2017).
Background Recent advances in high-throughput sequencing allow for much deeper exploitation of natural and engineered microbial communities, and to unravel so-called “microbial dark matter” (microbes that until now have evaded cultivation). Metag
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 19(12), 1972-1981. IEEE COMPUTER SOC
We present a visual analytics solution designed to address prevalent issues in the area of Operational Decision Management (ODM). In ODM, which has its roots in Artificial Intelligence (Expert Systems) and Management Science, it is increasingly impor
Publikováno v:
Computer Graphics Forum. 32:158-169
We present a set of interactive techniques for the visual analysis of multi-dimensional categorical data. Our approach is based on multiple correspondence analysis (MCA), which allows one to analyse relationships, patterns, trends and outliers among
Autor:
Bertjan Broeksema, Julian Heinrich
Publikováno v:
BDVA
We present a web-based implementation of parallel coordinates suitable for big data visual analytics. While being easily accessible through web-browsers, the system supports advanced analytics on the server as well as density-based rendering on the c
Publikováno v:
Visualization and Data Analysis
A wealth of census data relative to hierarchical administrative subdivisions are now available. It is therefore desirable for hierarchical data visualization techniques, to offer a spatially consistent representation of such data. This paper focuses
Publikováno v:
IEEE VAST
Within metagenomics, "Contig Binning" is an important step in the process of reconstructing genomes of species in mixed cultures and environmental samples. We present an interactive visual environment which enables a biologist to statistically analyz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c27cc20d1be3ed07005be7bfdd77f1e3
Publikováno v:
IEEE VAST
We describe our approach to the VAST challenge using off the shelf software, for analysis and visualization. This allowed us to gain insight into the data within a short time-frame. We discuss the merits of our approach and set out directions for fut
Autor:
Bertjan Broeksema, Alexandru Telea
Publikováno v:
EPRINTS-BOOK-TITLE
We present a tool that helps C/C++ developers to estimate the effort and automate software porting. Our tool supports project leaders in planning a porting project by showing where a project must be changed, how many changes are needed, what kinds of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f56172eedfdd952ed549b59f61995265
https://research.rug.nl/en/publications/68a39941-91c6-43ee-b3f9-befb8291549c
https://research.rug.nl/en/publications/68a39941-91c6-43ee-b3f9-befb8291549c