| CPC G06F 16/1744 (2019.01) | 14 Claims |
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1. A system for recovering information lost during data compression, comprising:
a computing system comprising at least a memory and a processor;
a quality analysis engine configured to evaluate importance of genomic regions and assign quality scores;
a rate control engine configured to determine compression rates based on the quality scores;
a neural network configured to recover lost information from a plurality of correlated genomic datasets that have been compressed with lossy compression, wherein the neural network comprises:
a plurality of recurrent layers for feature extraction;
a channel-wise transformer with attention to capture inter-channel dependencies; and
a deblocking network composed of the recurrent layers and channel-wise transformer; and
a decoder configured to:
receive compressed data comprising the plurality of correlated genomic datasets;
decompress the compressed data; and
process the decompressed data using the neural network to recover information lost during lossy compression.
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