System and methods for upsampling of decompressed genomic data after lossy compression using a neural network
AssigneeAtombeam Technologies Inc.
InventorsZhu Li, Brian Galvin, Paras Maharjan
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Abstract
A system and methods for upsampling of decompressed biological data after lossy compression using a neural network integrates AI-based techniques to enhance compression quality. It incorporates a novel deep-learning neural network that upsamples decompressed data to restore information lost during lossy compression, taking advantage of cross-correlations between biological data sets.
Claims11
A system for upsampling of decompressed biological data after lossy compression using a neural network, comprising:
- a computing system comprising at least a memory and a processor;
- two or more datasets that are substantially correlated and which have been compressed with lossy compression, the two or more datasets comprising biological data;
- a deep learning neural network configured to recover lost information associated with a compressed bit stream;
- and
- a decoder comprising a first plurality of programming instructions that, when operating on the processor, cause the computing system to:
- receive a compressed bit stream, the compressed bit stream comprising cross-correlated biological data;
- decompress each of the compressed bit stream;
- and
- use the decompressed bit stream as an input into the deep learning neural network to recover lost information associated with the biological data.
A method for upsampling of decompressed biological data after lossy compression using a neural network, comprising the steps of:
- training a deep learning neural network to recover lost information associated with a compressed bit stream;
- receiving the compressed bit stream, the compressed bit stream comprising cross-correlated biological data;
- decompressing the compressed bit stream;
- and
- using the decompressed bit stream as an input into the deep learning neural network to recover information lost during lossy compression of the biological data.
Dependencies are inferred from the claim text.