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Table 5 Each dataset in the first column has been filtered with the three gene filtering methods, giving rise to three different datasets. 

From: A cell abundance analysis based on efficient PAM clustering for a better understanding of the dynamics of endometrial remodelling

Dataset

Expr10

HVG10

M3Drop

KohTCC

0.47

0.44

0.47

Koh

0.51

0.47

0.74

KumarTCC

1.00

1.00

0.98

Kumar

0.97

0.97

0.95

SimKumar4easy

1.00

1.00

0.18

SimKumar4hard

0.58

0.60

0.00

SimKumar8hard

0.22

0.20

0.01

TrapnelTCC

0.36

0.36

0.40

Trapnell

0.32

0.36

0.22

Zhengmix4eq

0.83

0.89

0.76

Zhengmix4uneq

0.77

0.75

0.77

Zhengmix8eq

0.54

0.56

0.48

  1. Clusters were obtained using PAM-BS,distance, and rawn normalization. Columns 2, 3, and 4 contain the ARI scores obtained when the partitions obtained by PAM-BS are compared with the true partitions. The closer to 1, the better the agreement between the partitions
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BMC Bioinformatics

ISSN: 1471-2105

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