DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome

1 code implementation • 7 Aug 2018 • Behrooz Azarkhalili, Ali Saberi, Hamidreza Chitsaz, Ali Sharifi-Zarchi

We employed this architecture on mRNA transcription profiles of 10787 clinical samples from 34 classes (one healthy and 33 different types of cancer) from 27 tissues.

Multi-Task Learning

Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks

no code implementations • 13 Jun 2018 • Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi, Aryan Kamal, Seyed Abolfazl Motahari, Ali Sharifi-Zarchi, Hamidreza Chitsaz

Although we use an unsupervised approach to train the autoencoder, we show different values of the CIC are connected to different biological aspects of the cell, such as different pathways or biological processes.