visKernels

logical to indicate whether to open a new page. By
default, it sets to true for opening a new page

newpage


<code>visKernels</code> is supposed to visualize a series of neighborhood
kernels, each of which is a non-increasing functions of: i) the
distance $d_{wi}$ between the hexagon/rectangle $i$ and the
winner $w$, and ii) the radius $\delta_t$ at time $t$.


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).

Hai Fang

supraHex

A Supra-Hexagonal Map for Analysing Tabular Omics Data

visKernels function

<code>visKernels</code> is supposed to visualize a series of neighborhood
kernels, each of which is a non-increasing functions of: i) the
distance $d_{wi}$ between the hexagon/rectangle $i$ and the
winner $w$, and ii) the radius $\delta_t$ at time $t$.

visKernels: Function to visualize neighborhood kernels

Description

Usage

Arguments

Value

See Also

Examples