dot-tiltedCCA_common_score: Main workhorse of dcca_factor
In linnykos/multiomicCCA: Tilted CCA

.tiltedCCA_common_score

R Documentation

Main workhorse of dcca_factor

Description

Given the two matrices (given by svd_1 and svd_2) and the CCA solution in cca_res, compute the common scores. This calls the functions .common_decomposition and .compute_distinct_score.

Usage

.tiltedCCA_common_score(
  averaging_mat,
  cca_res,
  discretization_gridsize,
  enforce_boundary,
  fix_tilt_perc,
  snn_bool_cosine,
  snn_bool_intersect,
  snn_k,
  snn_min_deg,
  snn_num_neigh,
  svd_1,
  svd_2,
  target_dimred,
  verbose = 0
)

Arguments

`averaging_mat`	sparse matrix
`cca_res`	returned object from `.cca`
`discretization_gridsize`	positive integer for how many values between 0 and 1 (inclusive) to search the appropriate amount of tilt over
`enforce_boundary`	boolean, on whether or not the tilt is required to stay between the two canonical score vectors
`fix_tilt_perc`	boolean or a numeric. If `FALSE`, then the tilt is adaptively determined, and if `TRUE`, then the tilt is set to be equal to `0.5`. If numeric, the value should be between `0` and `1`, which the tilt will be set to.
`snn_bool_cosine`	boolean
`snn_bool_intersect`	boolean
`snn_k`	integer
`snn_min_deg`	integer
`snn_num_neigh`	integer
`svd_1`	SVD of the denoised variant of `mat_1` from `dcca_factor`
`svd_2`	SVD of the denoised variant of `mat_2` from `dcca_factor`
`target_dimred`	matrix
`verbose`	non-negative integer