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Table 1 Block-level identification rate over 500 replications for four true blocks under three graph structures

From: Super-taxon in human microbiome are identified to be associated with colorectal cancer

Method

Graph type

Block 1

Block 2

Block 3

Block 4

Average (SD)

STB

Random

0.8289

0.9918

1

0.8598

0.9201 (0.0885)

STC

0.9401

1

0.6736

1

0.9034 (0.1558)

ZIBR

0.8223

0.8595

0.9814

0.9835

0.9117 (0.0831)

ANCOM-BC

1

1

1

1

1 (0)

Hu et al. [14]

0.0020

0.4633

0.1388

0

0.1510 (0.2181)

STB

Hub

0.7478

0.7917

1

0.9364

0.8690 (0.1188)

STC

0.9670

1

1

1

0.9917 (0.0165)

ZIBR

0.6865

0.7726

1

1

0.8648 (0.1601)

ANCOM-BC

1

1

1

1

1 (0)

Hu et al. (2020)

0.0082

0.2238

0.1458

0

0.0944 (0.1091)

STB

Cluster

0.7868

1

1

1

0.9467 (0.1066)

STC

0.9510

1

0.9787

0.7975

0.9318 (0.0918)

ZIBR

0.7361

0.7961

0.7682

0.9506

0.8128 (0.0951)

ANCOM-BC

1

1

1

1

1 (0)

Hu et al. [14]

0.0040

0.3300

0.1360

0

0.1175 (0.1551)

  1. \(\Omega\) is set to reflect the correlations among OTUs. Random graph structure indicates that OTUs are correlated with each other randomly. The hub and cluster graphs capture some aspects of biological networks, such as highly connected nodes and community structure. More details can be found in Osborne et al. [20]