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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
Ali Tuğrul Balcı1,2, Mark Maher Ebeid1,2, Panayiotis V Benos3
1Joint Carnegie Mellon University-University of Pittsburgh Program in Computational Biology, Institution, Pittsburgh, 15213, United States and.
We developed tiSFM, a novel deep learning model for sequence-based genomics. tiSFM offers improved performance and intrinsic interpretability for predicting functional genomic readouts.
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