Table 1

Training set gene list

MSMGs

Non-MSMGs


Bmp4, Cdyl, Cdyl2, Dmrt1, Dppa4,

Afp, Arid3a, Arid3b, Ascl1, Ascl2,

Dppa5a, Esrrb, Etv4, Etv5, Fgf4, Foxd3,

Bat1a, Bmp2, Bmp5, Bmper, Ccnd2,

Foxh1, Gbx2, Grhl2, Jarid2, Klf2, Klf5,

Cdh2, Cebpa, Cited1, Dach1, Dlx1,

Lefty2, Lin28, Mkrn1, Mycn, Nanog,

Dlx4, Dlx6, Ednra, En1, Eomes, Ets2,

Nodal, Nr0b1, Nr5a2, Phc1, Phf17,

Eya2, Fgf5, Foxb1, Gata1, Gata3,

Pou4f2, Pou5f1, Rif1, Sall1, Sall4, Sgk1,

Gata4, Gata5, Gata6, Gfap, Gli3, Gsc,

Slc27a2, Socs3, Sox2, Spp1, Tcf15,

Hand1, Hand2, Insm1, Isl1, Lbx1,

Tcfap2c, Tcfcp2l1, Tcl1, Tle4, Trp53,

Lhx2, Lhx5, Lmx1a, Mbd2, Meis1,

Utf1, Zfp296, Zfp42

Mixl1, Myf5, Neurog1, Nfia, Npas3,

Nr2f1, Nr2f2, Nrp1, Nrp2, Olig3, Otp,

Otx1, Pax3, Pdx1, Peg3, Phox2b,

Prl3d1, Prox1, Rybp, Shh, Sox1,

Sox18, Sox3, Sox5, Sox9, Stra13, Syp,

Tcf4


List of genes used as training set include 46 positive examples labelled as MSMG class and 70 negative examples labelled as non-MSMG class. These genes are derived from expert curation.

Xu et al. BMC Systems Biology 2010 4:173   doi:10.1186/1752-0509-4-173

Open Data