CAKL, a persistent Stanley-Reisner k-mer representation, outperforms five baseline methods on 11 genomic benchmarks, especially viral classification.
VISTA: computational tools for comparative genomics
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.QM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
CAKL: Commutative algebra k-mer learning of genomics
CAKL, a persistent Stanley-Reisner k-mer representation, outperforms five baseline methods on 11 genomic benchmarks, especially viral classification.