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Table 3 The genes considered to be significantly associated with the 3-year overall survivals of OV by the univariate Cox regression

From: Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform

Characteristics

P.Value

SACS

0.0002

SSC5D

0.0002

TSHRa

0.0003

CTD-2006C1.13

0.0004

LATS1

0.0008

HSPG2a

0.0008

AGPAT9

0.0019

STK38L

0.0032

CACNA1C

0.0033

AC005330.2a

0.0034

RP11-254F7.2

0.0047

MYH2

0.0048

ALDOA

0.0049

HIGD2A

0.0075

COL1A1

0.0101

ANAPC7a

0.0103

GIP

0.0110

BRD1

0.0117

MCL1

0.0126

IGDCC4

0.0137

FABP4a

0.0142

CHCHD10

0.0147

C12orf5

0.0148

COL3A1

0.0152

FAM196B

0.0171

CTD-2583A14.10

0.0181

DLX4

0.0182

ANKRD46

0.0183

ABHD15

0.0189

COX4I1a

0.0191

EPHB4

0.0202

RP5-1024G6.5

0.0204

RPL10

0.0218

GP9

0.0221

RPL15

0.0231

SLC34A2a

0.0243

LINC00891

0.0246

CD81

0.0247

B4GALT4

0.0253

BEST3

0.0254

ARHGAP5

0.0262

CCDC38

0.0263

RP11-77 K12.10a

0.0269

MMP2

0.0284

GLMN

0.0337

MAFA

0.0343

NCBP2a

0.0348

DOK6

0.0379

P2RY6a

0.0380

RP11-282O18.3

0.0381

FOLR1

0.0394

ORAI2

0.0411

FNBP1L

0.0412

NLGN2

0.0413

LL22NC03-2H8.4

0.0421

IER3IP1

0.0424

TRPC4

0.0427

RPS6

0.0429

RP11-894P9.2

0.0435

RPS25

0.0438

FTH1

0.0448

RP11-867G23.10a

0.0453

NPM2

0.0467

AP001372.2

0.0468

HOXD3

0.0469

XX-C283C717.1

0.0477

RGMB-AS1

0.0500

  1. amarked the genes selected by multivariate Cox regression
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BMC Bioinformatics

ISSN: 1471-2105

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