Description
In computational biology, assembling transcriptomes without a reference genome poses a challenge and results in many variant assemblies for each gene. Artificial neural networks, implemented in Python, perform very well for classifying and clustering these variants and selecting a best isoform.
Presentation page -- https://2018.pycon.ca/talks/talk-PC-52397