In addition, by adopting deep learning (i.e. using the long short-term memory algorithm along with properly constructed neural network), we showed that the frequency position of the oscillation spectrum peaks can be used to predict the level of vimentin, a mesenchymal marker, in invasive NSCLC cells with high accuracy (>90% for model cell lines and >80% for rCTCs). This evidence concerns the gene VIM and non-small cell lung carcinoma.