Create the object to initialize Tilted-CCA — create

Initialize the multiSVD object by computing each modality's SVD.

Usage

create_multiSVD(
  mat_1,
  mat_2,
  dims_1,
  dims_2,
  center_1 = T,
  center_2 = T,
  normalize_row = T,
  normalize_singular_value = T,
  recenter_1 = F,
  recenter_2 = F,
  rescale_1 = F,
  rescale_2 = F,
  scale_1 = T,
  scale_2 = T,
  scale_max_1 = NULL,
  scale_max_2 = NULL,
  verbose = 0
)

Arguments

mat_1: data matrix of n cells and p1 features for Modality 1
mat_2: data matrix of n cells and p2 features for Modality 2
dims_1: vector of latent dimensions for mat_1 used for analysis
dims_2: vector of latent dimensions for mat_2 used for analysis
center_1: boolean, to center each the feature in Modality 1 prior to computing latent dimensions
center_2: boolean, to center each the feature in Modality 2 prior to computing latent dimensions
normalize_row: boolean, to normalize each cell's latent vector after dimension-reduction for both modalities
normalize_singular_value: boolean, to normalize each modality by its largest singular value
recenter_1: boolean, to center each latent dimension in Modality 1 after computing latent dimensions
recenter_2: boolean, to center each latent dimension in Modality 2 after computing latent dimensions
rescale_1: boolean, to rescale each latent dimension in Modality 1 after computing latent dimensions
rescale_2: boolean, to rescale each latent dimension in Modality 2 after computing latent dimensions
scale_1: boolean, to rescale each the feature in Modality 1 prior to computing latent dimensions
scale_2: boolean, to rescale each the feature in Modality 2 prior to computing latent dimensions
scale_max_1: numeric or NULL, to threshold Modality 1 in magnitude prior to computing latent dimensions
scale_max_2: numeric or NULL, to threshold Modality 2 in magnitude prior to computing latent dimensions
verbose: non-negative integer

Value

multiSVD object