cal.eigen.fit | (Internal function) Calculae a vector of EigenFit values,... |
check.stopping | (Internal function) Check whether the ipcaps process meets... |
clustering | (Internal function) Perform the clustering process of ipcaps |
clustering.mode | (Internal function) Select a clustering method to be used for... |
diff.eigen.fit | (Internal function) Calculate a vector of different values... |
diff.xy | (Internal function) Check the different value of X and Y,... |
do.glm | (Internal function) Perform regression models, internally... |
export.groups | Export the ipcaps result to a text file |
get.node.info | Get the information for specified node |
ind.info | Sample information of synthetic dataset containing the top 10... |
ipcaps | Perform unsupervised clustering to capture population... |
IPCAPS.BIOC-package | IPCAPS.BIOC : Iterative Pruning to CApture Population... |
label | Synthetic dataset containing population labels for the... |
output.template | (Internal object) The HTML output template for ipcaps |
pasre.categorical.data | (Internal function) Manipulate categorical input files |
PC | Synthetic dataset containing the top 10 principal components... |
postprocess | (Internal function) Perform the post-processing step of... |
preprocess | (Internal function) Perform the pre-processing step of ipcaps |
process.each.node | (Internal function) Perform the iterative process for each... |
raw.data | Synthetic dataset containing single nucleotide polymorphisms... |
replace.missing | (Internal function) Replace missing values by specified... |
save.eigenplots.html | Generate HTML file for EigenFit plots |
save.html | Generate HTML file for clustering result in text mode |
save.plots | Workflow to generate HTML files for all kinds of plots |
save.plots.cluster.html | Generate HTML file for scatter plots which all data points... |
save.plots.label.html | Generate HTML file for scatter plots which data points are... |
snp.info | Marker information of synthetic dataset containing single... |
top.discriminator | Detecting top discriminators between two groups |
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