| Fang | Human embryo gene expression dataset from Fang et al. (2010) |
| Fang.geneinfo | Human embryo gene expression dataset from Fang et al. (2010) |
| Fang.sampleinfo | Human embryo gene expression dataset from Fang et al. (2010) |
| Golub | Leukemia gene expression dataset from Golub et al. (1999) |
| sBMH | Function to identify the best-matching hexagons/rectangles for the input data |
| sCompReorder | Function to reorder component planes |
| sDistance | Function to compute the pairwise distance for a given data matrix |
| sDmat | Function to calculate distance matrix in high-dimensional input space but according to neighborhood relationships in 2D output space |
| sDmatCluster | Function to partition a grid map into clusters |
| sDmatMinima | Function to identify local minima (in 2D output space) of distance matrix (in high-dimensional input space) |
| sHexDist | Function to calculate distances between hexagons/rectangles in a 2D grid |
| sHexGrid | Function to define a supra-hexagonal grid |
| sHexGridVariant | Function to define a variant of a supra-hexagonal grid |
| sHexPolygon | Function to extract polygon location per hexagon within a supra-hexagonal grid |
| sInitial | Function to initialise a sInit object given a topology and input data |
| sMapOverlay | Function to overlay additional data onto the trained map for viewing the distribution of that additional data |
| sNeighAny | Function to calculate any neighbors for each hexagon/rectangle in a grid |
| sNeighDirect | Function to calculate direct neighbors for each hexagon/rectangle in a grid |
| sPipeline | Function to setup the pipeline for completing ab initio training given the input data |
| sTopology | Function to define the topology of a map grid |
| sTrainBatch | Function to implement training via batch algorithm |
| sTrainology | Function to define trainology (training environment) |
| sTrainSeq | Function to implement training via sequential algorithm |
| sWriteData | Function to write out the best-matching hexagons and/or cluster bases in terms of data |
| visColoralpha | Function to add transparent (alpha) into colors |
| visColorbar | Function to define a colorbar |
| visColormap | Function to define a colormap |
| visCompReorder | Function to visualise multiple component planes reorded within a sheet-shape rectangle grid |
| visDmatCluster | Function to visualise clusters/bases partitioned from a supra-hexagonal grid |
| visDmatHeatmap | Function to visualise gene clusters/bases partitioned from a supra-hexagonal grid using heatmap |
| visHeatmap | Function to visualise input data matrix using heatmap |
| visHeatmapAdv | Function to visualise input data matrix using advanced heatmap |
| visHexAnimate | Function to animate multiple component planes of a supra-hexagonal grid |
| visHexBarplot | Function to visualise codebook matrix using barplot for all hexagons or a specific one |
| visHexComp | Function to visualise a component plane of a supra-hexagonal grid |
| visHexGrid | Function to visualise a supra-hexagonal grid |
| visHexMapping | Function to visualise various mapping items within a supra-hexagonal grid |
| visHexMulComp | Function to visualise multiple component planes of a supra-hexagonal grid |
| visHexPattern | Function to visualise codebook matrix or input patterns within a supra-hexagonal grid |
| visKernels | Function to visualize neighborhood kernels |
| visTreeBootstrap | Function to build and visualise the bootstrapped tree |
| visTreeBSclust | Function to obtain clusters from a bootstrapped tree |
| visVp | Function to create viewports for multiple supra-hexagonal grids |
| Xiang | Arabidopsis embryo gene expression dataset from Xiang et al. (2011) |