Prediction of functional microexons by transfer learning

BMC Genomics

Table 3 Results of microexons functional prediction of 19 cases reported in the literature

Gene name	Start (Based 0)	Len.	Prob.
ROBO1 [2]	chr3:78,696,778	27	0.739
ANK2 [2]	chr4:114,158,754	24	0.744
CR1 [26]	chr1:207,795,317	24	0.402
PICALM [27]	chr11:85,689,112	24	0.844
FERMT2 [26]	chr14:53,327,731	21	0.745
ITSN1 [10]	chr21:35,174,733	15	0.631
ZFYVE27 [11]	chr10:99,512,613	21	0.116
L1CAM [12]	chrX:153,141,083	21	0.811
DTNA [2]	chr18:32,401,063	9	0.581
SHANK2 [2]	chr11:70,788,698	12	0.711
APBB1 [4]	chr11:6,423,206	6	0.776
APBB2 [4]	chr4:40,824,046	21	0.802
APBB3 [4]	chr5:139,941,428	6	0.717
TRAPPC9 [4]	chr8:141,436,713	27	0.865
RAB3GAP1 [4]	chr2:135,809,868	27	0.731
Bin1 [26]	chr2:127,810,997	24	0.740
DOCK9 [4]	chr13:99,461,376	6	0.663
MEF2D [4]	chr1:156,446,285	21	0.120
KDM1A [28]	chr1:23,385,839	12	0.717

ISSN: 1471-2164