PAPER CLIPS: Multi-omics Compositional Data Analysis (Part 1/2)
This video talks about the integrative analysis of two separate compositional data sets, for example metagenomic and metabolomic data collected in parallel on the same samples. It introduces the "2-simplex problem", and highlights the importance of performing log-ratio transformations on each of the data sets separately, rather than jointly. The relevant paper is available from https://www.dropbox.com/s/qtgmrsb4k4y...
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An Introduction to Machine Learning for Biologists (Part 3/3)
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Regression with Count Data: Poisson and Negative Binomial
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How to find the best sampling depth for rarefaction (CC202)
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The Man Who Worked At Subway, Then Solved An "Impossible" Problem
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Statistical analysis of the microbiome data with R - Eliana Ibrahimi
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The Strange Math That Predicts (Almost) Anything
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Differential abundance and correlation analysis of microbiome data: Challenges and some solutions
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Residual Networks and Skip Connections (DL 15)
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Microbiome/Metagenome Analysis Workshop: DADA2
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Linear mixed effects models
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An Introduction to Machine Learning for Biologists (Part 2/3)
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ROC and AUC, Clearly Explained!
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Using adonis and betadisper from the vegan R package to compare groups (CC208)
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Flexible non-parametric regression models for compositional response data with zeros, M. Tsagris
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But what is the Fourier Transform? A visual introduction.
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Compositional Data Analysis Approaches to Improve Microbiome Studies: from Collection to Conclusions
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Quantile Regression - An Introduction
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Introduction to building machine learning models in R with mikropml (CC124)
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Analysis of Metagenomic Data
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