View source: R/ElasticPrincipalTree.R
Embeds an elastic principal tree on the gene expression space from which the initial cell coordinates were calculated. The function receives the original Expression Matrix from which a lowe dimensional manifold was calculated and the coordinates from the low-dimensional manifold.
1 2 3 | GenesSpaceEmbedding(ExpressionMatrix, ElasticTree, lambda_0 = 2.03e-09,
mu_0 = 0.00625, increaseFactor_mu = 20, increaseFactor_lambda = 20,
NCores = 1)
|
ExpressionMatrix |
Gene expression matrix on which the tree will be embedded |
ElasticTree |
elastic tree to be embedded on the gene expression space |
lambda_0 |
principal elastic tree energy function parameter. |
mu_0 |
principal elastic tree energy function parameter |
increaseFactor_mu |
factor by which the principal elastic tree energy function parameters will be increased for the embedding |
increaseFactor_lambda |
factor by which the principal elastic tree energy function parameters will be increased for the embedding |
NCores |
number of CPU cores to be used for the calculation |
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