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Listen "Episode 13: Funny-Looking Bioinformatics"
Episode Synopsis
In this episode, I broadened up my bioinformatics background, found that the latest R-release was a Funny-Looking Kid, and extracted lobster species using package ‘OpenTreeChronograms’.
References:
A New Tobit Ridge-Type Estimator of the Censored Regression Model with Multicollinearity Problem
Selecting predictive biomarkers from genomic data
COBREXA.jl: constraint-based reconstruction and exascale analysis
Partial leverage plots
R 4.2.1 is released
{CIPerm}: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods
When Linear Models Don’t Fit Your Data, Now What?
SVG to PNG
How to Find Unmatched Records in R
Create new variables from existing variables in R
R-packages:
OpenTreeChronograms: Open Tree of Life Chronograms
phacking: Sensitivity Analysis for p-Hacking in Meta-Analyses
RCTS: Clustering Time Series While Resisting Outliers
MakeYourPalette: Make Your Palette
ontologics: Code-Logics to Handle Ontologies
CIPerm: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods
References:
A New Tobit Ridge-Type Estimator of the Censored Regression Model with Multicollinearity Problem
Selecting predictive biomarkers from genomic data
COBREXA.jl: constraint-based reconstruction and exascale analysis
Partial leverage plots
R 4.2.1 is released
{CIPerm}: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods
When Linear Models Don’t Fit Your Data, Now What?
SVG to PNG
How to Find Unmatched Records in R
Create new variables from existing variables in R
R-packages:
OpenTreeChronograms: Open Tree of Life Chronograms
phacking: Sensitivity Analysis for p-Hacking in Meta-Analyses
RCTS: Clustering Time Series While Resisting Outliers
MakeYourPalette: Make Your Palette
ontologics: Code-Logics to Handle Ontologies
CIPerm: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods
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