Orchestrating Microbiome Analysis
Source Code
Browse version
devel
Machine learning & statistical modeling
24
Statistical modeling
Overview
Introduction
1
Microbiome data science in Bioconductor
2
miaverse
Data containers & importing
3
Data containers
4
Import
5
Convert & export
Data wrangling
6
Taxonomic information
7
Data wrangling
8
Subsetting
9
Agglomeration
10
Transformation
Exploration & QC
11
Exploration & quality control
12
Community composition
Diversity & similarity
13
Community diversity
14
Community similarity
15
Community typing
Association
16
Differential abundance
17
Correlation
Networks
18
Network learning & analysis
19
Network comparison
Multiomics
20
Cross-association
21
Ordination-based multiassay analysis
22
Multi-omics prediction and classification
Machine learning & statistical modeling
23
Machine learning
24
Statistical modeling
Workflows
25
Introductory
26
Introductory (French)
27
Introductory (Dutch)
Training
28
Training
29
Exercises
Support & resources
30
Support
31
Resources
32
Contributions
Appendices
A
Microbe Set Enrichment Analysis (MSEA)
B
Meta-analyses
C
Extra material
D
Visualization
E
Technical info
Machine learning & statistical modeling
24
Statistical modeling
24
Statistical modeling
This chapter will include introduction to statistical modeling in a future version.
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Machine learning
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Introductory