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Merge pull request #38 from TASBE/coverney.excel
Renamed example_assay files
2 parents 1fee68f + 5b58de8 commit e17904f

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01_flow_cytometry/exercises.m

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@@ -15,10 +15,10 @@
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% Examples of flow data (Fig1 to Fig4)
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% pure scatter - often hard to interpret
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fcs_scatter([dosedata 'LacI-CAGop_C4_C04_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',0,[0 0; 6 6],1); % Fig1
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fcs_scatter([dosedata 'LacI-CAGop_C4_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',0,[0 0; 6 6],1); % Fig1
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fcs_scatter([colordata '07-29-11_EYFP_P3.fcs'],'FITC-A','Pacific Blue-A',0,[0 0; 6 6],1); % Fig2
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% smoothed density plot omits details but often summarizes collective better
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data1 = fcs_scatter([dosedata 'LacI-CAGop_C4_C04_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',1,[0 0; 6 6],1); % Fig3
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data1 = fcs_scatter([dosedata 'LacI-CAGop_C4_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',1,[0 0; 6 6],1); % Fig3
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data2 = fcs_scatter([colordata '07-29-11_EYFP_P3.fcs'],'FITC-A','Pacific Blue-A',1,[0 0; 6 6],1); % Fig4
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% Things to notice:
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filtered = read_filtered_au(CM,[colordata '07-29-11_EYFP_P3.fcs']); % applies any filters set in ColorModel
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CM = set_dequantization(CM,true); % dequantization adds noise to spread the data out more, especially useful at low levels
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[dequantized hdr] = read_filtered_au(CM,[dosedata 'LacI-CAGop_C4_C04_P3.fcs']);
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[dequantized hdr] = read_filtered_au(CM,[dosedata 'LacI-CAGop_C4_P3.fcs']);
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xc = dequantized(:,10); yc = dequantized(:,11);
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pos = xc>0 & yc>0;
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figure; smoothhist2D(log10([xc(pos) yc(pos)]),10,[200, 200],[],'image',[0 0; 6 6]); % Fig5

02_flow_compensation/exercises.m

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CM = set_ERF_channel_name(CM, 'FITC-A'); % We'll explain this in the next exercise
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% Now let's read some files...
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raw = read_filtered_au(CM,[dosedata 'LacI-CAGop_C3_C03_P3.fcs']);
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compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_C03_P3.fcs'],0,1);
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raw = read_filtered_au(CM,[dosedata 'LacI-CAGop_C3_P3.fcs']);
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compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_P3.fcs'],0,1);
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% You should see an error: need to "resolve" the color model first! Comment
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% out above line of code and run again.
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@@ -159,7 +159,7 @@
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% even when it can be compensated for.
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compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_C03_P3.fcs'],0,1);
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compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_P3.fcs'],0,1);
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% The last two arguments are:
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% 1) Whether to add autofluorescence back in after reading (generally not done)
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% 2) Whether to map all values <= 0 to 1 (which is zero on the log scale)

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