Difference between revisions of "Fold-Change calculation (analysis)"

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;Provider
 
;Provider
 
:[[Institute of Systems Biology]]
 
:[[Institute of Systems Biology]]
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;Class
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:{{Class|ru.biosoft.analysis.FoldChange}}
 
;Plugin
 
;Plugin
:ru.biosoft.analysis (Common methods of data analysis plug-in)
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:[[Ru.biosoft.analysis (plugin)|ru.biosoft.analysis (Common methods of data analysis plug-in)]]
  
 
==== Description ====
 
==== Description ====
Calculates fold-change values
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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
* '''Input logarithm base''' – Logarithm base of input data
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* '''type''' – type
* '''Result logarithm base''' – Logarithm base of result
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* '''inputLogarithmBase''' – inputLogarithmBase
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* '''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
Statistics-Fold-Change-calculation-icon.png 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
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