<i>hcapca</i>: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R

<i>hcapca</i>: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R

Microbial natural product discovery programs face two main challenges today: rapidly prioritizing strains for discovering new molecules and avoiding the rediscovery of already known molecules. Typically, these problems have been tackled using biological assays to identify promising strains and techn...

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Bibliographic Details
Main Authors: Shaurya Chanana, Chris S. Thomas, Fan Zhang, Scott R. Rajski, Tim S. Bugni
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Metabolites
Subjects:
metabolites
genomics
PCA
HCA
dendrogram
variance
Online Access:https://www.mdpi.com/2218-1989/10/7/297

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