A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data

Sequencing-based identification of tumor tissue-of-origin (TOO) is critical for patients with cancer of unknown primary (CUP) lesions. Even if the TOO of a tumor can be diagnosed by clinicopathological observation, reevaluations by computational methods can also avoid misdiagnosis. In this study, we developed a Deep Neural Network framework using the expression of a 150-gene panel to infer tumor TOO, which is applicable for 15 common cancer...