lace_interface: LACE Interface

In gian-asco/test: Longitudinal Analysis of Cancer Evolution (LACE)

LACE Interface

Description

This function generates a longitudinal clonal tree and a graphic interface to explore the data using as input the clonal tree formatted in the same way as the one produced by LACE during the imputation steps

Usage

lace_interface(
  B_mat,
  clones_prevalence,
  C_mat,
  error_rates,
  width = NULL,
  height = NULL,
  elementId = NULL,
  info = ""
)

Arguments

B_mat	(Required). B is the clonal tree matrix where columns are the clonal mutations and and rows are the clones. The clonal tree matrix should contain a column and a row named "Root" representing the root of the tree and the wild type, respectively. B is a binary matrix where 1 are the mutations associated to the clones. The wild type column has all ones
clones_prevalence	(Required) The clonal prevalence matrix
C_mat	(Required) The corrected clonal attachment
error_rates	(Required) The false positive alpha and false negative beta error rates used to infer the clonal tree
width	(optional) Size of the window interafce
height	(optional) Size of the window interafce
elementId	(optional) Element id
info	(Optional). HTML formatted text with information regarding the experiments

gian-asco/test documentation built on April 11, 2022, 12:05 a.m.