A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Accelerating in-silico saturation mutagenesis using compressed sensing
[article]
2021
bioRxiv
pre-print
In-silico saturation mutagenesis (ISM) is a popular approach in computational genomics for calculating feature attributions on biological sequences that proceeds by systematically perturbing each position in a sequence and recording the difference in model output. However, this method can be slow because systematically perturbing each position requires performing a number of forward passes proportional to the length of the sequence being examined. In this work, we propose a modification of ISM
doi:10.1101/2021.11.08.467498
fatcat:mn42jm536ndrzamay2qsxqyrxm