دورية أكاديمية

jClust: a clustering and visualization toolbox

التفاصيل البيبلوغرافية
العنوان: jClust: a clustering and visualization toolbox
المؤلفون: Pavlopoulos, Georgios A., Moschopoulos, Charalampos N., Hooper, Sean D., Schneider, Reinhard, Kossida, Sophia
بيانات النشر: Oxford University Press
سنة النشر: 2009
المجموعة: HighWire Press (Stanford University)
مصطلحات موضوعية: SYSTEMS BIOLOGY
الوصف: jClust is a user-friendly application which provides access to a set of widely used clustering and clique finding algorithms. The toolbox allows a range of filtering procedures to be applied and is combined with an advanced implementation of the Medusa interactive visualization module. These implemented algorithms are k -Means, Affinity propagation, Bron–Kerbosch, MULIC, Restricted neighborhood search cluster algorithm, Markov clustering and Spectral clustering, while the supported filtering procedures are haircut, outside–inside, best neighbors and density control operations. The combination of a simple input file format, a set of clustering and filtering algorithms linked together with the visualization tool provides a powerful tool for data analysis and information extraction. Availability: http://jclust.embl.deTest/ Contact: pavlopou@embl.de ; rschneid@embl.de ; skossida@bioacademy.gr Supplementary information: Supplementary data are available at Bioinformatics online.
نوع الوثيقة: text
وصف الملف: text/html
اللغة: English
العلاقة: http://bioinformatics.oxfordjournals.org/cgi/content/short/25/15/1994Test; http://dx.doi.org/10.1093/bioinformatics/btp330Test
DOI: 10.1093/bioinformatics/btp330
الإتاحة: https://doi.org/10.1093/bioinformatics/btp330Test
http://bioinformatics.oxfordjournals.org/cgi/content/short/25/15/1994Test
حقوق: Copyright (C) 2009, Oxford University Press
رقم الانضمام: edsbas.F6CB5105
قاعدة البيانات: BASE