Table 2 List of selected features and accuracy of model
From: Exploration of mRNAs and miRNA classifiers for various ATLL cancer subtypes using machine learning
Results | ATLL_acute | ATLL_chronic | ATLL_smouldering |
|---|---|---|---|
Subtypes | |||
Features | IDH2,PTGER3,TM2D2,DAAM1,MXD1,RALB,TSC22D4,FRY,NRSN2,SPINK2,GBP3,PAPSS1,SRM,HYI,PDIA4,STON1,E2F2,NDST2,RNF35,UBQLN1,FHL2,NDUFAF1,SLC39A11,WDR41,FLVCR1,NINJ2,SMS,XAF1 | CD40LG,MAP1LC3C,SMAD7,PUS1,RORC,ADAMTS10,TRMT61A,CCT5,VCL | CDCA7L,HSPA1A,MCAT,SLC25A21,CHN1,IFI44,MT1G,SLC6A20,CSRNP1,INPP5F,MYEF2,STMN1,NCF2,NOSIP,CCDC50,ENO3,LAG3,RELA,WWC3,CCL3,FOSL2,LSR,RNASEH2C,BHLHE40,DUSP23,KCNH5,PARP1,TTN,CD70,HOXB2,MAF,SAP30 |
Accuracy | 0.975 (0.075) | 0.942 (0.118) | 1.00 (0.00) |