A class for double perturbation experiments (genetic interaction screens, drug-drug interaction screens). There are functions for creation, analysis, and display of interaction screens.
● Data Source:
BioConductor
● Keywords: classes
● Alias: RNAinteract-class, show,RNAinteract-method
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The package contains functions to organize the data from (single- and multi-parametric) genetic interaction screens. Methods to estimate main effects (single perturbation effects) and pairwise interactions. p-values are computed. Furthermore a comprehensive html-report is generated.
● Data Source:
BioConductor
● Keywords: package
● Alias: RNAinteract, RNAinteract-package
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Bind two RNAinteract objects along screens.
● Data Source:
BioConductor
● Keywords: manip
● Alias: bindscreens
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Compute the pairwise interaction term for each single experiments.
● Data Source:
BioConductor
● Keywords: manip
● Alias: computePI
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Compute p-values for genetic interactions terms. Assess if genetic interaction term is different from zero.
● Data Source:
BioConductor
● Keywords: htest, manip, multivariate
● Alias: computePValues
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A cellHTS2 object is created from a set of text files.
● Data Source:
BioConductor
● Keywords: manip
● Alias: createCellHTSFromFiles
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Creates a RNAinteract object given data matrices, annotation, query and template design.
● Data Source:
BioConductor
● Keywords: manip
● Alias: createRNAinteract
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Reads text files with annotation, query and template design, and data. Creates a RNAinteract object.
● Data Source:
BioConductor
● Keywords: manip
● Alias: createRNAinteractFromFiles
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A principal component analysis is performed for a pairwise interaction matrix. The low-dimensional embedding is returned.
● Data Source:
BioConductor
● Keywords: manip
● Alias: embedPCA
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estimates the main effects in an additive model.
● Data Source:
BioConductor
● Keywords: manip
● Alias: estimateMainEffect
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