Content by themes

  1. Dataset annotations:
    1. 10x Frozen BMMCs (Healthy Control 1)
    2. 10x 8k PBMCs from a Healthy Donor
    3. inDrop Mouse Bone Marrow cells
  2. Origin of background cells in Human/mouse datasets:
    1. Drop-seq thousand
    2. 10x 1k 1:1 Mixture
    3. 10x 6k 1:1 Mixture
  3. Filtration of low-quality cells
    1. Robustness of classifier to noise
    2. Validation of inDrop Mouse BMCs
    3. Validation of inDrop Mouse PCs
    4. Validation of 10x Human BMMCs
    5. Validation of 10x 8k PBMCs
  4. UMI corrections:
    1. Correction effect on 10x BMMCs dataset
    2. UMI trimming on 10x AML035 Post-transplant dataset
  5. Cell barcode merge validation
    1. Merge of human/mouse mixtures
    2. Number of molecules per cell
  6. Runtimes
    1. inDrop BMCs
    2. inDrop ESCs

Content by figures

Some figures were created with Python code and they are not published here. Please, write personally to request the code.

Content by tables

Main tables

  1. Table 1. Analysis of merge targets on human/mouse mixture datasets
  2. Table 2. 5-fold CV results (mean ± sd)

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