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Papers: 10.1186/s13059-021-02306-1

https://doi.org/10.1186/s13059-021-02306-1

Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox

Cited by: 101
Author(s): Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork, Shinichi Sunagawa, Georg Zeller
Published: over 4 years ago

Software Mentions 6

bioconductor: phyloseq
Handling and analysis of high-throughput microbiome census data
Papers that mentioned: 1,702
Very Likely Science (75)
bioconductor: SIAMCAT
Statistical Inference of Associations between Microbial Communities And host phenoTypes
Papers that mentioned: 6
Very Likely Science (100)
cran: car
Companion to Applied Regression
Papers that mentioned: 1,651
Very Likely Science (100)
cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
pypi: car
Papers that mentioned: 1,651
Unlikely Science (0)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
Likely Science (40)