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BBiCat: Alpha version of a Java implementation of BBiCAT project

Authors: Aliyev, Taghi; Manca, Marco; Di Meglio, Alberto;

BBiCat: Alpha version of a Java implementation of BBiCAT project

Abstract

This is the Java implementation of a research project on modelling and analysis of complex systems. Release contains Local implementation of the BiMax algorithm, refactored code of BiCat toolbox, Bayesian post-analysis which uses NCI Curated Pathways database, possibilities of calling R script from Java code, Parser that maps illumina names to HGNC Symbols and usage cases of all the above mentioned. Also, a class that can read and process bigger datasets with which BiCat GUI had a trouble. Also, Mean Squared Residue Score implementation is included in the bicluster class to have a numeric metric for assessment as well. Please visit http://www.tik.ethz.ch/sop/bicat/?page=licensingAgree.php in order to obtain the native libraries used for the project

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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