Getting started with normScore2 months ago
Overview | Methods | General rationale | Inputs required by r BiocStyle::Biocpkg("normScore") | The six scoring items | Item 1. Pooled coefficient of variation (PCV) | Item 2. Within-group sample correlation | Item 3. MA-trend deviation | Item 4. Mean-SD trend deviation | Item 5. RLE consistency | Item 6. Total intensity consistency | Scaling and aggregation | Correction applied to the log-transformed baseline | Additional adjustments and weighting | Basic usage | Simulating example data | Building a list of normalized datasets | Running normScore() | Final ranking | Detailed scores | Bootstrap summary | Bootstrap plot | Diagnostic plots | Item 0 - Systematic Bias Penalty | Item 1. Pooled Coefficient of Variance (PCV) | Item 3. MA-trend deviation | Item 4. Mean-SD trend deviation | Interoperability with other packages | Example data | Build a SummarizedExperiment object | Normalization using NormalyzerDE | Prepare normScore inputs | Run normScore | Store results in the SummarizedExperiment metadata | Add a selected normalized assay | Working with an existing SummarizedExperiment | Session information