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dc.contributor.authorRathke, Magnus
dc.contributor.authorKölling, Jan
dc.contributor.authorNattkemper, Tim W.
dc.contributor.editorGiegerich, Robert
dc.contributor.editorHofestädt, Ralf
dc.contributor.editorNattkemper, Tim W.
dc.date.accessioned2017-07-26T14:12:12Z
dc.date.available2017-07-26T14:12:12Z
dc.date.issued2014
dc.identifier.isbn978-3-88579-629-9
dc.identifier.issn1617-5468
dc.description.abstractWeb browsers and web applications have become common tools in bioinformatics over the past decades. Many existing web applications revolve around server-client interaction, where heavy computational tasks are often outsourced to the server and the presentation is handled on the the client-side. However more recent additions to the web browser technology embrace the capability of handling more complex operations on the client-side itself, cutting out most of the server-client interaction except for data loading. This paper contributes to the exploration of the potential of approaches to implement and speed up computational expensive tasks, like image cluster analysis, within a client-side web browser environment. The experimental results, incorporating the well known k-means algorithm which serves as a platform for various parallelization approaches, indicate the possibility to achieve real time image clustering. Especially for the available MALDI-MSI data set the results look promising. Despite good results of multithreading approaches, algorithmic approaches appear to be relevant too. Therefore advancements in accelerating the k-means algorithm itself are considered.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman conference on bioinformatics 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-235
dc.titleInteractive and dynamic web-based visual exploration of high dimensional bioimages with real time clusteringen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages44-53
mci.conference.locationBielefeld
mci.conference.date28. September - 1. October 2014


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