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Table 2 The 16 common genes predicted by all machines in the top 100

From: EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer

Symbol NSCGMCH
(#)
NSCGMBH
(#)
PKGECC PKGEBC
OXCT1a #N/A #N/A #N/A #N/A
KDRb 7 2 #N/A
APEX1a #N/A #N/A #N/A #N/A
GCM2a #N/A #N/A #N/A #N/A
UNC13Da #N/A #N/A #N/A #N/A
NCOR1 #N/A #N/A
KRAS 20 #N/A
THAP3a #N/A #N/A #N/A #N/A
SERPINE2 1 #N/A #N/A #N/A
BATFa #N/A #N/A #N/A #N/A
C8orf44a #N/A #N/A #N/A #N/A
C12orf29a #N/A #N/A #N/A #N/A
ZNF546a #N/A #N/A #N/A #N/A
KDM6B 1 #N/A #N/A #N/A
GCNT4a #N/A #N/A #N/A #N/A
FOXA1 #N/A #N/A
  1. The confirmed genes as the known genes related to different primary cancers or primary breast tumors in OMIM, CGC, and NCG databases have been marked in the last two columns
  2. NSCGMCH, number of studies that have cited genes related to different metastatic cancers in the HCMDB; NSCGMBH, number of studies that have cited these genes related to metastatic breast cancer in the HCMDB; PKGECC, predicted known genes by EC associated with different cancers that are confirmed in OMIM, CGC, and NCG; PKGEBC, predicted known genes by EC associated with Breast cancer that are confirmed in OMIM, CGC, and NCG
  3. aTen new genes that have not already been introduced in the databases
  4. bKDR is confirmed in HCMDB related to metastatic breast cancer in two studies