8 citations · 17 across the 14 of their papers we have counts for
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stat.ML2018
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
Behrooz Azarkhalili, Ali Saberi, Hamidreza Chitsaz +1
Despite great advances, molecular cancer pathology is often limited to the use of a small number of biomarkers rather than the whole transcriptome, partly due to computational chal…
q-bio.GN2018
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks
Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi +4
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but…