causalBatch: Causal Batch Effects
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Bridgeford, Eric W.;
causalBatch: Causal Batch Effects
Software for using causal techniques to detect and correct for group/batch effects in high-dimensional scientific data sets, as-described in our manuscripts Bridgeford et al. (2024) and Bridgeford et al. (2023) . Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data.
- Johns Hopkins University United States
- United States Military Academy United States
- Stanford University United States
batch effects, neuroimaging, high-dimensional data, R package, hypothesis testing, genomics, causal inference
batch effects, neuroimaging, high-dimensional data, R package, hypothesis testing, genomics, causal inference
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
Average
Average
Average