Research Article
Evaluation of Machine Learning Based on Statistical Moment Calculation for Identification of Mutations in Lower Grade Glioma Cancer
Table 1
Genes involved in Lower Grade Glioma Cancer and mutation in each gene.
| Gene name | Number of mutation | Gene name | Number of mutation |
| IDH1 | 412 | SETD2 | 7 | TP53 | 300 | PDGFRA | 10 | ATRX | 135 | MED12 | 7 | CIC | 90 | PTPN11 | 8 | PIK3CA | 35 | KIT | 6 | EGFR | 42 | MYH11 | 6 | FUBP1 | 30 | MTOR | 5 | NOTCH1 | 24 | PLCG1 | 3 | NF1 | 29 | ARID1B | 7 | PTEN | 19 | NKX2-1 | 4 | IDH2 | 21 | MAX | 4 | SMARCA4 | 20 | NRAS | 4 | PIK3R1 | 10 | CDKN2C | 4 | ZBTB20 | 17 | MET | 4 | ARID1A | 13 | RSPH10B2 | 3 | NIPBL | 15 | RUNX1T1 | 3 | DNMT3A | 10 | BRAF | 5 | ARID2 | 6 | POT1 | 3 | KEL | 8 | CDKN2A | 2 |
|
|