Article

16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses

2018-05-04

Abstract excerpt

Advances in high-throughput sequencing have increased the availability of microbiome sequencing data that can be exploited to characterize microbiome community structure in situ. We explore using word and sentence embedding approaches for nucleotide sequences since they may be a suitable numerical representation for downstream machine learning applications (especially deep learning). This work involves first enco...

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Literature Corpus work: 880997f1-8773-50c0-8daa-26f47d8fdd7e
DOI: 10.1101/314260

Open publication

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