kmeansClustring: Kmeans clustering analysis

In Kan-E/rnaseqviewer: Toolkit for automated, systematic, and integrated RNA-seq DEG analysis

Kmeans clustering analysis

Description

Kmeans clustering analysis

Usage

kmeansClustring(Count_matrix, km, km_repeats = 10000, basemean = 0)

Arguments

Count_matrix	Directory of count matrix txt file
km	number of k-means clustering
km_repeats	number of k-means runs to get a consensus k-means clustering
basemean	basemean threshold

References

R. Gentleman, V. Carey, W. Huber and F. Hahne (2021). genefilter: methods for filtering genes from high-throughput experiments. R package version 1.72.1.

Gu, Z. (2016) Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics.

Kan-E/rnaseqviewer documentation built on May 30, 2022, 10:34 a.m.