GRNmap Testing Report: Strain Run Comparisons 2015-05-27

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Revision as of 10:14, 27 May 2015 by Natalie Williams (talk | contribs) (Included information in how to get the LSE and penalty terms)
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Code Version: v1.0

MATLAB Version: 2014b

Computer on which the model was run: SEA120-02 and SEA120-03


To get the LSE & the penalty term, type the following:

Code for LSE:
GRNstruct.GRNOutput.lse_out

Code for Penalty
GRNstruct.GRNOutput.reg_out

wt alone

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

dCIN5 alone

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

dGLN3 alone

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

dHMO1 alone

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

dZAP1 alone

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

all strains

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

wt vs. dCIN5

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

wt vs. dGLN3

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

wt vs. dHMO1

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

wt vs. dZAP1

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

wt + dCIN5 + dZAP1

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

wt + dCIN5 + dZAP1 + dGLN3

  • input.xlsx
  • output.xlsx
  • zipped figures
  • analysis.xlsx containing bar graphs
  • LSE:
  • Penalty term:

Results and Discussion

  • What other questions should be answered to help us further analyze the data?