Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kasper Dinkla"'
Autor:
Peter Kerpedjiev, Nezar Abdennur, Fritz Lekschas, Chuck McCallum, Kasper Dinkla, Hendrik Strobelt, Jacob M. Luber, Scott B. Ouellette, Alaleh Azhir, Nikhil Kumar, Jeewon Hwang, Soohyun Lee, Burak H. Alver, Hanspeter Pfister, Leonid A. Mirny, Peter J. Park, Nils Gehlenborg
Publikováno v:
Genome Biology, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract We present HiGlass, an open source visualization tool built on web technologies that provides a rich interface for rapid, multiplex, and multiscale navigation of 2D genomic maps alongside 1D genomic tracks, allowing users to combine various
Externí odkaz:
https://doaj.org/article/2c92e43c941a4abc808b8f0ebf34e423
Publikováno v:
F1000Research, Vol 7 (2018)
eXamine is a Cytoscape app that displays set membership as contours on top of a node-link layout of a small graph. In addition to facilitating interpretation of enriched gene sets of small biological networks, eXamine can be used in other domains suc
Externí odkaz:
https://doaj.org/article/f4b4259f690a4065873dde8cc111ade0
Publikováno v:
F1000Research, Vol 7 (2018)
eXamine is a Cytoscape app that displays set membership as contours on top of a node-link layout of a small graph. In addition to facilitating interpretation of enriched gene sets of small biological networks, eXamine can be used in other domains suc
Externí odkaz:
https://doaj.org/article/d858232c41f64b739e97ac1c32326a5f
Publikováno v:
F1000Research
eXamine is a Cytoscape app that displays set membership as contours on top of a node-link layout of a small graph. In addition to facilitating interpretation of enriched gene sets of small biological networks, eXamine can be used in other domains suc
Publikováno v:
Computer Graphics Forum, 34(3), 311-320. Wiley-Blackwell
Node grouping is a common way of adding structure and information to networks that aids their interpretation. However, certain networks benefit from the grouping of links instead of nodes. Link communities, for example, are a form of link groups that
Autor:
Hanspeter Pfister, Kasper Dinkla, Stephan Reiling, Hendrik Strobelt, Bryan Genest, Mark Borowsky
Publikováno v:
IEEE transactions on visualization and computer graphics. 23(1)
High-throughput and high-content screening enables large scale, cost-effective experiments in which cell cultures are exposed to a wide spectrum of drugs. The resulting multivariate data sets have a large but shallow hierarchical structure. The deepe
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 18(12), 2457-2466. IEEE Computer Society
We present a novel technique—Compressed Adjacency Matrices—for visualizing gene regulatory networks. These directed networks have strong structural characteristics: out-degrees with a scale-free distribution, in-degrees bound by a low maximum, an
Autor:
Michel A. Westenberg, Kasper Dinkla
Publikováno v:
Tsinghua Science and Technology, 17(4), 365-382. Tsing Hua University
Many of the processes known to take place in biological cells are analyzed in the form of different types of network. The complexity of these networks increases along with our knowledge of these processes, making their analysis more difficult. Networ
Autor:
Amy I. Gilson, Rostam M. Razban, Eugene I. Shakhnovich, Hanspeter Pfister, Jeong-Mo Choi, Kasper Dinkla, Niamh Durfee, Hendrik Strobelt
Publikováno v:
Bioinformatics. 34:4140-4140
MotivationProtein evolution spans time scales and its effects span the length of an organism. A web app named ProteomeVis is developed to provide a comprehensive view of protein evolution in the S. cerevisiae and E. coli proteomes. ProteomeVis intera
Autor:
Michel A. Westenberg, Martine J. Smit, Cristina Iulia Bucur, Marco Siderius, Gunnar W. Klau, Kasper Dinkla, Mohammed El-Kebir
Publikováno v:
Dinkla, K, El-Kebir, M, Bucur, C I, Siderius, M, Smit, M J, Westenberg, M A & Klau, G W 2014, ' eXamine: Exploring annotated modules in networks ', BMC Bioinformatics, vol. 15, no. 201 . https://doi.org/10.1186/1471-2105-15-201
BMC Bioinformatics, 15(201)
BMC Bioinformatics, 15(201). BioMed Central
BMC Bioinformatics, 15(6), 201-1/14. BioMed Central
BMC Bioinformatics
BMC Bioinformatics, 15(201)
BMC Bioinformatics, 15(201). BioMed Central
BMC Bioinformatics, 15(6), 201-1/14. BioMed Central
BMC Bioinformatics
Background: Biological networks have a growing importance for the interpretation of high-throughput omics data. Integrative network analysis makes use of statistical and combinatorial methods to extract smaller subnetwork modules, and performs enrich
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1be4ffc563d82df59d77036dac1fc99
https://hdl.handle.net/1871.1/992d89f2-2b2a-477c-90cd-7e59fc4db53d
https://hdl.handle.net/1871.1/992d89f2-2b2a-477c-90cd-7e59fc4db53d