DeBias webserver user manual


DeBias Analyst user manual

DeBias Analyst enables visualization and statistical interpretation of co-localization and co-orientation data-sets analyzed with DeBias ( https://debias.biohpc.swmed.edu ).

I. Launch DeBias Analyst


At the bottom-right part of the page, fill-in the captcha (‘Enter Image Text’, for security purposes), select ‘DeBias Analyst’ and press ‘Submit’

Figure 1. Launch DeBias Analyst

II. Upload data and run DeBias Analyst

The following steps must be completed to execute DeBias Analyst: (1) define experimental conditions (labels); (2) retrieve data that was pre-processed by DeBias; (3) annotate each data instance’s label; (4) visualize results.

Figure 2. DeBias Analyst user interface

1. Define experimental conditions

DeBias Analyst was designed to compare two experimental conditions (e.g., control versus a specific perturbation). The first step is to define two strings that will represent these conditions; these strings will be later used as labels for each analyzed instance to compare between the groups.


Figure 3. Input labels for two experimental conditions

2. Retrieving pre-processed data for group analysis

Add a data set that was processed by DeBias by inserting the designated email address and its corresponding Data ID (Fig. 4). This process is iterative – load multiple data sets for group analysis. Notice that the parameter K in DeBias must not be changed between different instances (should not be a problem, unless using the advanced option in the DeBias pre-processing).


Figure 4. Press the ‘Add data set’ button (top), use the DeBias email address anddata ID from the notification email (middle) to retrieve the data analyzedby DeBias, press ‘Execute DeBias Analyst’ (bottom).

3. Annotate labels

For each data instance select the corresponding label (‘Group’). To exclud several data instances from the group analysis set their label as ‘NONE’.



Figure 5. Annotate labels (bottom). Initially, the first label is set as default for all instances (top).

4. Visualize results

Press ‘Generate Global Index vs. Local Index Plot’, the output will be displayed in a two-dimensional plot of LI versus GI.




Figure 6. GI versus LI plots.

To save the plot to your computer, press the symbol on the upper-right side and select the exporting format.

Figure 7. Download the plot as one of four formats: .png, .jpg, .pdf or .svg.