Fig. 1.

(a) Overall architecture of GIT. An example case and its detected drivers are shown. (b) A two-dimensional demo that shows how attention mechanism combines multiple gene embeddings of SGAs ${\left\{e_g\right\}}_{g=1}^m$ and cancer type embedding e_s into a tumor embedding vector e_t using attention weights ${\left\{{\alpha }_g\right\}}_{g=1}^m.$ (c) Calculation of attention weights ${\left\{{\alpha }_g\right\}}_{g=1}^m$ using gene embeddings ${\left\{e_g\right\}}_{g=1}^m.$