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. 2016 Aug 31;6:188. doi: 10.3389/fonc.2016.00188

Table 2.

Some of the meta-clusters characteristic of AML for the 23 AML samples in the training set.

Tube Marker expression #Samples Fraction of cells
2 KappalowLambdalowCD19+CD20 5 63% (±6.8)
3 CD7+CD4CD8CD2 4 18.0% (±4.8)
4 CD15CD13+CD16CD56 17 16.6% (±6.9)
4 CD15CD13+CD16CD56+ 8 11.1% (±5.7)
5 CD14CD11cCD64CD33+ 10 13.5% (±5.2)
5 CD14CD11c+CD64CD33+ 18 10.8% (±3.8)
5 CD14lowCD11c+CD64lowCD33+ 6 13.8% (±4.3)
6 HLA-DR+CD117+CD34+CD38+ 11 13.3% (±2.6)
6 HLA-DR+CD117±CD34+CD38+ 13 17.3% (±6.6)
6 HLA-DRCD117±CD34CD38+ 5 12.9% (±4.7)
7 CD5CD19+CD3CD10 3 12.3% (±2.4)
7 CD5+CD19CD3CD10 3 10.0% (±8.5)
7 CD5CD19CD3CD10+ 1 9.9%

In the second column, “−,” “low,” and “+” denote very low, low, and high, abundance of a marker, respectively, and ± denotes a marker that is positively expressed by some samples and negatively expressed by others. The number of samples participating in a meta-cluster is shown in the third column. The average fraction of cells in a sample participating in a meta-cluster and the SD are shown in the fourth column.