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. 2023 Jun 1;13(11):1835. doi: 10.3390/ani13111835

Table 2.

The significant KEGG pathways enrichment analysis. The corrected p was calculated using Benjamini and Hochberg’s (1995) method.

Term Input Background p Coreected p2 Genes
Metabolic pathways 21 1433 1.92 × 10−05 2.39 × 10−03 NDUFAB1, ATP6V1D, EXTL3, etc.
Cell cycle 6 124 5.73 × 10−05 4.48 × 10−03 CCNB2, BUB1B, PLK1, etc.
Thermogenesis 7 231 2.34 × 10−04 1.35 × 10−02 NDUFAB1, LIPE, BMP8A, etc.
Human papillomavirus infection 8 330 3.67 × 10−04 2.05 × 10−02 ATP6V1D, HEYL, MAGI1, etc.
Huntington’s disease 6 193 5.75 × 10−04 2.42 × 10−02 NDUFAB1, DNAH3, ATP5A1, etc.
Proteoglycans in cancer 6 203 7.43 × 10−04 2.52 × 10−02 CD44, CDKN1A, ANK2, etc.
Cushing’s syndrome 5 155 1.42 × 10−03 3.76 × 10−02 AHR, WNT16, CDKN1A, etc.
Taurine and hypotaurine metabolism 2 11 1.94 × 10−03 4.18 × 10−02 GGT1, GGT5