densest_subset: Find the densest subset of a matrix
In bioDS/phyloRNA: Tools for phylogenetic analyses of scRNAseq data

Description Usage Arguments Details Value

Given a matrix with unknown values, find a densest subset of matrix.

1	densest_subset(x, empty = NA, density = 1, steps = Inf)

`x`	a matrix with unknown values
`empty`	the unknown value if different from NA; such as `0` for a numeric matrix or `N`, `empty` or `unknown` for character matrix
`density`	a desired density
`steps`	the number of steps

This is a stepwise filtering algorithm that deletes the least represented columns and/or rows to get a matrix subset with the least amount of unknown values until an optimum is reached.

In a lot of cases, an optimum would be a single vector. For this reasons, the algorithm is limited both by the number of steps and by a desired density.

a list containing the densest submatrix, vectors of deleted columns and a vector of densities at each step of the algorithm

bioDS/phyloRNA documentation built on Feb. 21, 2022, 3:28 p.m.