JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis

Over the last years, comparative studies of biclustering algorithms have been described in the literature, showing that a variety of programming languages were used in their development. Because of this fact, many researchers have difficulty using some of these methods, since it is necessary to setu...

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Bibliographic Details
Published inKnowledge-based systems Vol. 155; pp. 83 - 87
Main Authors Rocha, Orlando, Mendes, Rui
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.09.2018
Elsevier
Elsevier Science Ltd
Subjects
Algorithms
Application programming interface
Biclustering
Comparative analysis
Comparative studies
Data analysis
Data mining
Gene expression
Java
Open source software
Programming languages
Science & Technology
Gene expression
Data mining
Biclustering
Online AccessGet full text
ISSN0950-7051
1872-7409
DOI10.1016/j.knosys.2018.04.024

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Summary:Over the last years, comparative studies of biclustering algorithms have been described in the literature, showing that a variety of programming languages were used in their development. Because of this fact, many researchers have difficulty using some of these methods, since it is necessary to setup an environment for running a given algorithm or to have some programming skills in order to compile it. We present a new Java API for biclustering analysis in the context of gene expression data, allowing the use of 21 biclustering algorithms, in a single application. It is freely available at https://jbiclustge.github.io as an open source framework.
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ISSN:0950-7051
1872-7409
DOI:10.1016/j.knosys.2018.04.024