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RELEASE_NOTES.md

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0.6.0 - Wednesday, July 21, 2022

  • PR #9 by @bvenn:
    • fixed a bug that mixed up some results concerning the significance matrix creation.
    • added the possibility to choose between q vaalue, benjamini hochberg, or no multiple testing correction

0.5.0 - Friday, June 18, 2021

  • Add more customization options to potential time course and heatmap plots
  • Improve implementation of optional arguments for plot functions by returning a TMEAResult transforming funktion instead of the plot functions taking the result directly as input
  • Rework plot module:
    • optional parameter passing style for all plot functions
    • Rename:
      • generateConstraintTimeCoursePlot -> generateConstraintPotentialTimeCoursePlot
      • plotConstraintTimeCourses -> plotConstraintPotentialTimeCourses
      • generatePotentialHeatmap -> generateConstraintPotentialHeatmap
      • plotPotentialHeatmap -> plotConstraintPotentialHeatmap
  • add readDataFrameFromString function

0.4.0 - Monday, June 7, 2021

  • Add functionality to invert constraints and respective potentials for a given TMEAResult

0.3.0 - Thursday, June 3, 2021

  • Support net5.0
  • Update plotly dependencies
  • Add calculate_TotalFreeEnergyTimeCourse func

0.2.1 - Thursday, May 25, 2021

  • fix a bug that only allows tab separated data frame input

0.2.0 - Monday, May 19, 2021

  • target netstandard 2.0 for maximum compatibility for now

0.1.1 - Monday, October 19, 2020

  • added read function for ontology maps
  • added read functions from stream for data frames and ontology maps

0.1.0 - Tuesday, September 8, 2020

  • added Surprisal Analysis cp Heatmap Plot
  • added Surprisal Analysis analytic plots:
    • Constraint importance
    • Gradual data recovery
  • major namespace simplification
  • added analysis pipeline functions
  • added FAS weight distribution plot

0.0.2-alpha - Wednesday, September 2, 2020

  • added Plot functions for Surprisal Analysis results.
  • fixed Authors of the nuget package

0.0.1-alpha - Sunday, August 17, 2020

  • added the necessary function to run the basic pipeline, consisting of applying surprisal analysis to the dataset and subsequently applying our monte carlo sampling test to biologically characterize the results.