rnaseq

Cancer Classification from Single-Cell RNA Sequencing Data
Experimented the effectiveness of 1D Convolutional Neural Networks & 2D Dilated Convolutional Neural Networks on classifying diseases from the TCGA pan-cancer dataset. Our proposed methodology produced 95.6% accuracy over the TCGA RNASeq dataset.
Suhail Najeeb, Shahruk Hossain
Code
Cancer Classification from Single-Cell RNA Sequencing Data