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Table 1 Cociter analysis of top 30 lung cancer driver genes identified by our method

From: Identifying driver genes involving gene dysregulated expression, tissue-specific expression and gene-gene network

GenesCancerLungDriverIs_driverDyTidriverDiffusionDriverNetDawnRankMuf_maxMuf_sum
TP53677299911011201156
ZNF536401125015NA268984979
EGFR4748284916613134726
TSHZ3411042748129524631268188
PRUNE21211055211NA26232018332
RYR2432067572055812825
SPTA1321072216151236
ATP10D100081836NA28252667873
ANKIB1210091607NA257241072080
ZNF5212011105025NA30581906302
NES1923150111483NA146130941138
PIK3CA1199183541122511243081
TLR4417591911371453672138
NF11651611114345621389139
FAT4457201531068391961970119
ASH1L4110161506NA22892549761
PRKCB41111117512NA44292
SLC12A12210181647NA303840061750
CTNNB1251734044119621NA5127
PLCB197102025222774591
APOB27420211177866442
MET10453484002221377427186
GRIN2B13320231839120397135
UBC13417202434NA1371
SASH113310251537NA132551003080
HGF39317470264784403981192
BRAF21752701261277075155392150
UBA61110285263NANA2957980
PTPRZ112110293366NA2402894289
TAF1L2110305575754710130
  1. The second to the fourth column show the co-appeared times of top 30 identified genes with ‘driver’, ‘lung’ and ‘cancer’ (from the left to the right). Is_Driver indicates whether the given gene is a driver gene or not in the benchmark dataset. The left columns represent the ranking positions of identified genes in Dytidriver, Diffusion, DriverNet, DawnRank, Muf_max, Muf_sum respectively