Package index
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adaptive.t.test() - Perform Adaptive T-Test
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adjust.pvalues() - Adjust P-Values for Multiple Comparisons
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analyze.gene() - Analyze Gene Expression Between Groups
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build.analysis.df() - Build Analysis Data Frame
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classify.effect.size() - Classify Effect Size
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compute.ci() - Compute Confidence Interval for Effect Size
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compute.effect.size() - Compute Effect Size (Cohen's d)
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correlation.heatmap.plot() - Plot Gene Co-expression Correlation Heatmap
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extract.expression() - Extract Expression and Metadata from GEO Dataset
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find.probe.by.gene() - Find Probe IDs by Gene Name
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fit.lasso() - Fit LASSO Regression for Multi-Gene Biomarker Discovery
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flag.biological.relevance() - Assess Biological Relevance of Gene Expression Differences
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gene.analysis.plot() - Plot Gene Expression with Automatic Statistical Analysis
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gene.correlation.matrix() - Compute Pairwise Gene Co-expression Correlation Matrix
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get.gene.expression() - Extract Gene Expression by Probe ID
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get.gene.name() - Resolve Probe IDs to Gene Names
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load.geo.soft() - Load GEO Dataset from SOFT File
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nonparametric.test() - Perform Nonparametric Group Comparison
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pca.plot() - Plot PCA of Sample Expression Profiles
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run.gsea() - Run Gene Set Enrichment Analysis
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run.limma.de() - Run Differential Expression Analysis Using limma
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volcano.plot() - Plot Volcano Plot from Differential Expression Results