Signal Processing Department - Tampere University of Technology
August 2015
to December 2015
Internship
Tampere
Finland
Prediction of cancer patient's pathological stage by using TCGA's RNASeq gene expression level data, with random forest method and neural network deep learning method
Method development for finding the optimal topology of the neural network deep learning method such as the model's prediction results will be more accurate than the random forest method
Integration of copy number data into the prediction model
