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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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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