Article

MIPMLP – Microbiome Preprocessing Machine Learning Pipeline

2020-11-25

Abstract excerpt

16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may not be the optimal representation for ML. We checked multiple preprocessing steps and tested the optimal combination for 16S sequencing-based classification tasks. We computed the contribution of each step to the accu...

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Literature Corpus work: 06e7c8c7-b5d8-5882-bea3-c63d49a66fc4
DOI: 10.1101/2020.11.24.397174

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