scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis

BMC Bioinformatics

Table 4 The output of an ORA analysis for a categorical feature

Cluster	N	wb	bb	bd	wbd	exp	ER	p	p (BH)
0	2828	380	2448	499	239	67.05	3.56	1.67 × 10⁻¹⁰⁵	8.34 × 10⁻¹⁰⁵
1	2828	380	2448	475	4	63.83	0.06	1.00	1.00
2	2828	380	2448	378	4	50.79	0.08	1.00	1.00
3	2828	380	2448	309	2	41.52	0.05	1.00	1.00
4	2828	380	2448	296	7	39.77	0.18	1.00	1.00
5	2828	380	2448	257	0	34.53	0.00	1.00	1.00
6	2828	380	2448	185	4	24.86	0.16	1.00	1.00
7	2828	380	2448	172	0	23.11	0.00	1.00	1.00
8	2828	380	2448	142	5	19.08	0.26	1.00	1.00
9	2828	380	2448	115	115	15.45	7.44	2.47 × 10⁻¹⁰⁸	2.47 × 10⁻¹⁰⁷

Enrichment of every cluster in cells in “G2M” phase (dataset PJ016). The cell cycle phase was calculated by means of the function “CellCycleScoring()” from Seurat package [3]
N Number of cells, wb Number G2M cells, bb N-wb, wbd Number of G2M cells in the cluster, exp Expected number of G2M cells in the cluster, ER Enrichment ratio, p Hypergeometric p, p (BH) p value after Bonferroni–Hochberg correction

ISSN: 1471-2105