Expanded Example Matrix for Testing (100 genes)

Format

A numeric matrix with 100 rows (genes) and 2000 columns (cells):

Rows

100 genes. Rows 1–18 are the original Wnt pathway genes with their original expression values unchanged. Rows 19–100 are randomly expressed genes from housekeeping, cell-cycle, TF, Notch, MAPK/ERK, TGF-β/BMP, and adhesion panels.

Columns

2000 cells named "Cell1" through "Cell2000", matching synthetic_test_matrix.

Values

Non-negative integer expression counts. Rows 1–18 are taken directly from synthetic_test_matrix. Rows 19–100 are simulated via a zero-inflated negative-binomial distribution (mu = 2.5, size = 0.8, ~35 \

Simulated for demonstration purposes, expanded from synthetic_test_object. synthetic_test_matrix_100 A numeric matrix containing single-cell gene expression data for demonstration and testing in the PathwayEmbed package. This expanded version contains 100 genes: the original 18 Wnt-pathway genes from synthetic_test_matrix (rows 1–18, values preserved exactly) plus 82 additional randomly expressed genes drawn from housekeeping, cell-cycle, transcription-factor, Notch, MAPK/ERK, TGF-β/BMP, and adhesion gene sets. Because the first 18 rows are byte-for-byte identical to synthetic_test_matrix, any existing code that subsets to the Wnt gene panel will return the same results as before. The 82 extra genes carry no planted biological signal; they are intended for testing functions that operate on larger or multi-pathway gene panels, such as dimensionality reduction, clustering, or multi-pathway scoring. data(synthetic_test_matrix_100) dim(synthetic_test_matrix_100) # 100 x 2000 rownames(synthetic_test_matrix_100)[1:18] # original Wnt genes mean(synthetic_test_matrix_100 > 0) # ~0.35 non-zero density synthetic_test_matrix, synthetic_test_object_100 datasets