Partek Flow Documentation

Page tree

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

QA/QC

...

& Data Processing

Image RemovedImage Added

Once the data has been imported in the project we can start pre-processing the data:


We will first remove all non-expression features in the data (

...

e.g. NegProbes).

  • Click on  Filtering > Filter features from the menu on the right.
  • Select Metadata and set the task settings as follows, then click
  • Click Finish:

Image Modified


In the Analyses tab

  • Click on the resulting filtered counts node and select 
  • Select QA/QC > Single cell QA/QC from toolbox,   once the task has completed we can open the report by double-clicking the node:


We will remove the cells with low counts and number of detected features.

  • Click on Select & Filter and set lower threshold to 50 for both (remember that this is data-depended dependent and will change based on your dataset). Then click Image Removed and
  • Click FilterImage Added include
  • Click Apply observation filter to the filtered counts node:

Image Modified


Click on the node generated by the filtering task

...

in the Analyses tab.

  • Click Filtering > Filter features. Apply a noise reduction filter:

Image Modified


We can now

...

normalize our filtered data.

  • Click Normalization and scaling > NormalisationNormalizationUse the recommended settings by clicking :

Image Modified

Data Exploration

Now that we have filtered low quality cells and normalized our data, we can start clustering to identify cell populations.

  • Click on the normalized data node
  • From the menu on the right select Exploratory analysis > PCA. We are going to use the top 2000 features by variance and calculate the first 50 principal components (PCs):

Image Added 


Once the PCA has run, click on the PCA result node in the Analyses tab.

  • Select Exploratory analysis > UMAP from the toolbox. Set the UMAP parameters as follows:
    • Top 20 PCs
    • Local neighborhood size 60
    • Minimal distance 0.20

 Image Added


While the UMAP is running we can also queue a clustering task. Select Exploratory analysis > Graph-based clustering. 

  • We are going to use the Leiden algorithm to cluster our data (make sure to select the radio button for it)
  • Set the number of PCs to 10 
  • In the advanced settings, set the resolution parameter to 8e-5 and click Apply:

Image Added






Page Turner
button-linkstrue

...