fastISM: Performant in-silico saturation mutagenesis for convolutional neural networks.
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DOI: 10.1093/bioinformatics/btac135
Abstract: MOTIVATION Deep learning models such as convolutional neural networks are able to accurately map biological sequences to associated functional readouts and properties by learning predictive de novo representations. In-silico saturation mutagenesis (ISM) is a popular… read more here.
Keywords: saturation mutagenesis; neural networks; fastism; convolutional neural ... See more keywords