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Table 5 Results of the Gene-enrichment and Functional Annotation Analysis for mRNAs of interest identified by LRSC

From: Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma)

KEGG pathway

Count

%

P-value/EASE

Genes

Aminoacyl-tRNA biosynthesis

7

3.06

1.40E−04

YARS, LARS, PARS2, MARS, TARS, HARS, QRSL1

Cell cycle

8

3.49

7.49E−04

ORC1, PLK1, CUL1, TTK, MCM6, SMC1A, BUB1, MAD2L1

Purine metabolism

7

3.06

2.02E−02

POLA1, ADSL, RRM2, PRIM1, PPAT, PDE2A, GMPS

Oocyte meiosis

5

2.18

4.63E−02

PLK1, CUL1, SMC1A, BUB1, MAD2L1

RNA transport

6

2.62

5.86E−02

NDC1, NUP155, GEMIN5, GEMIN8, EIF2S1, NUP37

Alanine, aspartate and glutamate metabolism

3

1.31

6.76E−02

ADSL, PPAT, CAD

DNA replication

3

1.31

7.11E−02

POLA1, PRIM1, MCM6

  1. A summary of the results of the Gene-enrichment and Functional Annotation Analysis (GEFA) for the mRNAs of interest identified by LRSC. In all, 231 overlapping genes were only consistently identified by LRSC, 229 of these genes mapped in DAVID and were included in the GEFA