Kssd: sequence dimensionality reduction by k-mer substring space sampling enables real-time large-scale datasets analysis
Summary
Kssd: sequence dimensionality reduction by k-mer substring space sampling enables real-time large-scale datasets analysis is a scholarly article[1].
Key Facts
Kssd: sequence dimensionality reduction by k-mer substring space sampling enables real-time large-scale datasets analysis's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Kssd: sequence dimensionality reduction by k-mer substring space sampling enables real-time large-scale datasets analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/kssd-sequence-dimensionality-reduction-by-k-mer-substring-space-sampling-enables-real-time-large-scale-datasets-analysis