Difference between revisions of "Fold-Change calculation (analysis)"
From BioUML platform
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==== Description ==== | ==== Description ==== | ||
− | Calculates fold-change values | + | Calculates fold-change values. |
==== Parameters: ==== | ==== Parameters: ==== | ||
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** '''Columns''' – List of columns to use | ** '''Columns''' – List of columns to use | ||
* '''Data handling''' – Type of fold-change: average none, average control, average experiment, average all and one to one | * '''Data handling''' – Type of fold-change: average none, average control, average experiment, average all and one to one | ||
− | * ''' | + | * '''type''' – type |
− | * ''' | + | * '''inputLogarithmBase''' – inputLogarithmBase |
+ | * '''outputLogarithmBase''' – outputLogarithmBase | ||
* '''Value boundaries''' (expert) – All values outside these boundaries will be treated as outliers | * '''Value boundaries''' (expert) – All values outside these boundaries will be treated as outliers | ||
** '''Lower boundary''' – Input values below this threshold will be ignored | ** '''Lower boundary''' – Input values below this threshold will be ignored |
Latest revision as of 18:15, 9 December 2020
- Analysis title
- Fold-Change calculation
- Provider
- Institute of Systems Biology
- Class
FoldChange
- Plugin
- ru.biosoft.analysis (Common methods of data analysis plug-in)
[edit] Description
Calculates fold-change values.
[edit] Parameters:
- Experiment – Table with experimental(test) data
- Table – Table path
- Columns – List of columns to use
- Control – Table with control data
- Table – Table path
- Columns – List of columns to use
- Data handling – Type of fold-change: average none, average control, average experiment, average all and one to one
- type – type
- inputLogarithmBase – inputLogarithmBase
- outputLogarithmBase – outputLogarithmBase
- Value boundaries (expert) – All values outside these boundaries will be treated as outliers
- Lower boundary – Input values below this threshold will be ignored
- Upper boundary – Input values above this threshold will be ignored
- Output table – Output table
- Output histogram – If specified, histogram will be created showing fold-change distribution