Difference between revisions of "Hhinsch Week 9"

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(added the first test and the files we used for our testing)
(added some of the answers to the tests I performed. saved just in case)
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*We used the following files for our tests:
 
*We used the following files for our tests:
 
<br>
 
<br>
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<code> 21-genes_31-edges_Schade-data_estimation_output.xlsx
+
<code>
 +
<br>
 +
21-genes_31-edges_Schade-data_estimation_output.xlsx
 
<br>
 
<br>
 
21-genes_31-edges_Schade-data_estimation_output.sif
 
21-genes_31-edges_Schade-data_estimation_output.sif
 
<br>
 
<br>
−
21-genes_31-edges_Schade-data_estimation_output_unweighted.graphml</code>
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21-genes_31-edges_Schade-data_estimation_output.graphml
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</code>
  
 
{| class="wikitable"
 
{| class="wikitable"
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| Test 1 || Pass || There weren't any errors in completing this process.
 
| Test 1 || Pass || There weren't any errors in completing this process.
 
|-
 
|-
−
| Test 2 || TBD || TBD
+
| Test 2 || Pass || There weren't any errors in completing this process.
 
|-
 
|-
−
| Test 3 || TBD || TBD
+
| Test 3 || Pass || There weren't any errors in completing this process. The graph showed up completely grey in the other two <code>.graphml</code> files.
 
|-
 
|-
−
| Test 4 || TBD || TBD
+
| Test 4 || Pass || There weren't any errors. I used the edge weight factor of one and the lines became very thick.
 
|-
 
|-
−
| Test 5 || TBD || TBD
+
| Test 5 || Pass || I imported the <code>.sif</code> file and changed the weight factor from 1 to 2. It should be noted that the edge weight factor stays the same as when you determined it in the step before, even if you import a new graph.
 
|-
 
|-
−
| Test 6 || TBD || TBD
+
| Test 6 || Pass || For this <code>.graphml</code> file it uploaded then I changed the edge weight factor to <code>0.001</code> and it worked. There isn't any way to set the normative factor for the other two <code>.graphml</code> files.
 
|-
 
|-
−
| Test 7 || TBD || TBD
+
| Test 7 || || TBD
 
|-
 
|-
 
| Test 8 || TBD || TBD
 
| Test 8 || TBD || TBD

Revision as of 03:48, 30 October 2017


GRNsight Client Side Testing Document: Normalization + Zoom

Last Updated: 2017-10-23

  • Test 1
    • Instructions:
      • Load Graph - File Menu -> Open
    • Results:
      • GRNsight should lay out a network graph from the Excel workbook if there are no errors in the file.
  • Test 2
    • Instructions:
      • Load Graph - File Menu -> Import SIF
    • Results:
      • GRNsight should lay out a network graph from the SIF file if there are no errors in the file
  • Test 3
    • Instructions:
      • Load Graph - File Menu -> Import GraphML
    • Results:
      • GRNsight should lay out a network graph from the GraphML file if there are no errors in the file
  • Test 4
    • Instructions:
      • Load Graph - File Menu -> Open
      • Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button
    • Results:
      • GRNsight should lay out a network graph from the Excel workbook if there are no errors in the file. The graph should reload with the new normalization factor applied to its edge weight thicknesses
  • Test 5
    • Instructions:
      • Load Graph - File Menu -> Import SIF
      • Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button
    • Results:
      • GRNsight should lay out a network graph from the SIF file if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses
  • Test 6
    • Instructions:
      • Load Graph - File Menu -> Import GraphML
      • Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button
    • Results:
      • GRNsight should lay out a network graph from the GraphML file if there are no errors in the file. The graph should reload with the new normalization factor applied to its edge weight thicknesses
  • Test 7
    • Instructions:
      • Load Graph - File Menu -> Open
      • Zoom Slider - Increase Zoom Level
    • Results:
      • GRNsight should lay out a network graph from the Excel workbook if there are no errors in the file. The graph should zoom in (get larger)
  • Test 8
    • Instructions:
      • Load Graph - File Menu -> Import SIF
      • Zoom Slider - Increase Zoom Level
    • Results:
      • GRNsight should lay out a network graph from the SIF file if there are no errors in the file.The graph should zoom in (get larger)
  • Test 9
    • Instructions:
      • Load Graph - File Menu -> Import GraphML
      • Zoom Slider - Increase Zoom Level
    • Results:
      • GRNsight should lay out a network graph from the GraphML file if there are no errors in the file. The graph should zoom in (get larger)

Test 10 Instructions: Load Graph - File Menu -> Open Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button Zoom Slider - Increase Zoom Level Results: GRNsight should lay out a network graph from the Excel workbook if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses The graph should zoom in (get larger) Test 11 Instructions: Load Graph - File Menu -> Import SIF Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button Zoom Slider - Increase Zoom Level Results: GRNsight should lay out a network graph from the SIF file if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses The graph should zoom in (get larger) Test 12 Instructions: Load Graph - File Menu -> Import GraphML Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button Zoom Slider - Increase Zoom Level Results: GRNsight should lay out a network graph from the GraphML file if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses The graph should zoom in (get larger) Test 13 Instructions: Load Graph - File Menu -> Open Zoom Slider - Decrease Zoom Level Results: GRNsight should lay out a network graph from the Excel workbook if there are no errors in the file The graph should zoom out (get smaller) Test 14 Instructions: Load Graph - File Menu -> Import SIF Zoom Slider - Decrease Zoom Level Results: GRNsight should lay out a network graph from the SIF file if there are no errors in the file The graph should zoom out (get smaller) Test 15 Instructions: Load Graph - File Menu -> Import GraphML Zoom Slider - Decrease Zoom Level Results: GRNsight should lay out a network graph from the GraphML file if there are no errors in the file The graph should zoom out (get smaller) Test 16 Instructions: Load Graph - File Menu -> Open Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button Zoom Slider - Decrease Zoom Level Results: GRNsight should lay out a network graph from the Excel workbook if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses The graph should zoom out (get smaller) Test 17 Instructions: Load Graph - File Menu -> Import SIF Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button Zoom Slider - Decrease Zoom Level Results: GRNsight should lay out a network graph from the SIF file if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses The graph should zoom out (get smaller) Test 18 Instructions: Load Graph - File Menu -> Import GraphML Set Normalization Factor - Enter a Number in the Box and Click "Set Normalization Factor" button Zoom Slider - Decrease Zoom Level Results: GRNsight should lay out a network graph from the GraphML file if there are no errors in the file The graph should reload with the new normalization factor applied to its edge weight thicknesses The graph should zoom out (get smaller)

GRNsight Tests

  • We used the following files for our tests:



21-genes_31-edges_Schade-data_estimation_output.xlsx
21-genes_31-edges_Schade-data_estimation_output.sif
21-genes_31-edges_Schade-data_estimation_output.graphml

Test Pass or Fail Additional Explanation
Test 1 Pass There weren't any errors in completing this process.
Test 2 Pass There weren't any errors in completing this process.
Test 3 Pass There weren't any errors in completing this process. The graph showed up completely grey in the other two .graphml files.
Test 4 Pass There weren't any errors. I used the edge weight factor of one and the lines became very thick.
Test 5 Pass I imported the .sif file and changed the weight factor from 1 to 2. It should be noted that the edge weight factor stays the same as when you determined it in the step before, even if you import a new graph.
Test 6 Pass For this .graphml file it uploaded then I changed the edge weight factor to 0.001 and it worked. There isn't any way to set the normative factor for the other two .graphml files.
Test 7 TBD
Test 8 TBD TBD
Test 9 TBD TBD
Test 10 TBD TBD
Test 11 TBD TBD
Test 12 TBD TBD
Test 13 TBD TBD
Test 14 TBD TBD
Test 16 TBD TBD
Test 17 TBD TBD
Test 18 TBD TBD

Assignments

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Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 14
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Hayden's Individual Journal Entries

hhinsch Week 1
hhinsch Week 2
hhinsch Week 3
hhinsch Week 4
hhinsch Week 5
hhinsch Week 6
hhinsch Week 7
hhinsch Week 8
hhinsch Week 9
hhinsch Week 10
hhinsch Week 11
hhinsch Week 12
hhinsch Week 14
hhinsch Week 15
Page Desiigner Deliverables Page

Class Journal Entries

Class Journal Week 1
Class Journal Week 2
Class Journal Week 3
Class Journal Week 4
Class Journal Week 5
Class Journal Week 6
Class Journal Week 7
Class Journal Week 8
Class Journal Week 9
Class Journal Week 10
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Electronic Notebook

Hhinsch Electronic Notebook

Hayden's User Page

Hayden Hinsch

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