Identification of key candidate genes and small molecule drugs in cervical cancer by bioinformatics strategy

Purpose Cervical cancer (CC) is one of the most common malignant tumors among women. The present study aimed at integrating two expression profile datasets to identify critical genes and potential drugs in CC.