16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses.
Stephen WoloszynekZhengqiao ZhaoJian ChenGail L. RosenPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- feature representations
- nucleotide sequences
- feature representation
- image representation
- molecular biology
- sequence similarity
- genome scale
- protein sequences
- sequence data
- generative model
- low dimensional
- secondary structure
- low level features
- dna sequences
- dimensionality reduction
- biological data
- classifier ensemble
- feature extraction
- high dimensional data
- support vector machine