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DspikeIn The DspikeIn package supports both phyloseq and TreeSummarizedExperiment formats to streamline microbial quantification across diverse experimental setups. It accommodates either a single spike-in taxon or synthetic community taxa with variable or equal spike-in volumes and copy numbers. The package offers a comprehensive suite of tools for AA quantification, addressing challenges through ten core functions: 1) validation of spiked species, 2) data preprocessing, 3) system-specific spiked species retrieval, 4) scaling factor calculation, 5) conversion to absolute abundance, 6) bias correction and normalization, 7) performance assessment, and 8) taxa exploration and filtering 9) network topology assessment 10) further analyses and visualization.
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Linear Regression data_606
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ACA2
ÖG_Hafta_06
Dersin 6. haftası için hazırlanan öğrenme günlüğüdür.
Opciones y Arbol binomial
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data-606-lab-8
Data 624 Homework 7
Assignment 6