ROC-curves in clusterized peaks (analysis)
From BioUML platform
- Analysis title
- ROC-curves in clusterized peaks
- Provider
- Institute of Systems Biology
- Class
ROCCurvesInClusterizedPeaks
- Plugin
- biouml.plugins.bindingregions (Binding-regions related analyses)
Description
ROC-curves in clusterized peaks
Parameters:
- Sequences collection – Select a source of nucleotide sequences
- Sequences source – Select database to get sequences from or 'Custom' to specify sequences location manually
- Sequence collection – Specify path to folder containing sequences if 'Custom' sequences source is selected
- Input track – Select input track (it can be ChIP-seq track from GTRD; thus, it can be the result of MACS or SISSRs peak-finder)
- Is around summit – Is around summit
- Minimal region length – Minimal length of sequence region
- Type of data transformation – Type of data transformation
- Do add numbers of overlaps – Do add numbers of overlaps to the set of peak characteristics?
- Number of clusters – Number of clusters
- Types of site models – Select site models for comparative analysis
- Matrix – Path to frequency matrix
- Path to output folder – Output folder will be created under this location when it doesn't exist