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Package: supraHex
Type: Package
Title: A Supra-Hexagonal Map for Analysing Tabular Omics Data
Version: 1.10.0
Date: 2015-9-23
Author: Hai Fang and Julian Gough
Maintainer: Hai Fang <hfang@well.ox.ac.uk>
Depends: R (>= 3.0.2), hexbin
Imports: ape, MASS
Description: A supra-hexagonal map is a giant hexagon on a 2-dimensional grid
seamlessly consisting of smaller hexagons. It is supposed to train, analyse and
visualise a high-dimensional omics input data. The supraHex is able to carry
out gene clustering/meta-clustering and sample correlation, plus intuitive
visualisations to facilitate exploratory analysis. More importantly, it allows
for overlaying additional data onto the trained map to explore relations between
input and additional data. So with supraHex, it is also possible to carry out
multilayer omics data comparisons. Newly added utilities are advanced heatmap
visualisation and tree-based analysis of sample relationships. Uniquely to
this package, users can ultrafastly understand any tabular omics data, both
scientifically and artistically, especially in a sample-specific fashion but
without loss of information on large genes (see http://www.ncbi.nlm.nih.gov/
pubmed/24309102).
URL: http://suprahex.r-forge.r-project.org
Collate: 'sBMH.r' 'sCompReorder.r' 'sDistance.r' 'sDmat.r'
'sDmatCluster.r' 'sDmatMinima.r' 'sHexDist.r' 'sHexGrid.r'
'sInitial.r' 'sMapOverlay.r' 'sNeighAny.r' 'sNeighDirect.r'
'sPipeline.r' 'sTopology.r' 'sTrainBatch.r' 'sTrainSeq.r'
'sTrainology.r' 'sWriteData.r' 'visColoralpha.r'
'visColorbar.r' 'visColormap.r' 'visCompReorder.r'
'visDmatCluster.r' 'visDmatHeatmap.r' 'visHeatmap.r'
'visHeatmapAdv.r' 'visHexAnimate.r' 'visHexComp.r'
'visHexGrid.r' 'visHexMapping.r' 'visHexMulComp.r'
'visHexPattern.r' 'visKernels.r' 'visTreeBootstrap.r' 'visVp.r'
License: GPL-2
biocViews: Bioinformatics, Clustering, Visualization, GeneExpression
NeedsCompilation: no
Packaged: 2016-05-04 05:03:07 UTC; biocbuild
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providing 
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