PMKLC is a parallel multi-knowledge learning-based genomic compressor that achieves the best average compression ratio and throughput among tested baselines, with gains over the strongest baseline under 1%.
A survey and benchmark evaluation for neural-network-based lossless universal compressors toward multi- source data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
PMKLC is a parallel multi-knowledge learning-based genomic compressor that achieves the best average compression ratio and throughput among tested baselines, with gains over the strongest baseline under 1%.