Author: Phillip Davis; John Bagnoli; David Yarmosh; Alan Shteyman; Lance Presser; Sharon Altmann; Shelton Bradrick; Joseph A. Russell
Title: Vorpal: A novel RNA virus feature-extraction algorithm demonstrated through interpretable genotype-to-phenotype linear models Document date: 2020_3_2
ID: 48mtdwuv_58
Snippet: Applying a filter to the K-mers that are allowed to proceed to the clustering step has two 699 purposes. The first is to denoise the data by removing low abundance features that could be the 700 result of error or other transient sources of variance. The removal of these K-mers is achieved 701 through a parameter specified at the clustering stage, the K-mer quantile. Singletons, or K-mer 702 that are unique to a single instance, are always remove.....
Document: Applying a filter to the K-mers that are allowed to proceed to the clustering step has two 699 purposes. The first is to denoise the data by removing low abundance features that could be the 700 result of error or other transient sources of variance. The removal of these K-mers is achieved 701 through a parameter specified at the clustering stage, the K-mer quantile. Singletons, or K-mer 702 that are unique to a single instance, are always removed no matter the quantile specified. It was 703 The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02.28.969782 doi: bioRxiv preprint discovered that allowing the singletons to form motifs through agglomerative clustering 704
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