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Table 2 Area under the precision-recall curve (PR-AUC) for all algorithms applied to TKO datasets, using the combined non-human- and Chr10Rand-negative control guide RNAs

From: A benchmark of algorithms for the analysis of pooled CRISPR screens

 

HCT116_1

HCT116_2

DLD1

HeLa

RPE1

GBM

Average rank

MAGeCK RRA

0.449

0.505

0.508

0.424

0.450

0.461

2

MAGeCK MLE

0.404

0.476

0.372

0.395

0.402

0.346

3.7

CRISPhieRmix

0.459

0.435

0.032

0.391

0.502

0.535

2.7

RSA

0.346

0.415

0.439

0.340

0.389

0.368

4.5

t test

0.431

0.535

0.57

0.383

0.474

0.528

2.2

  1. Each column corresponds to a specific cancer type. The average rank is calculated by taking the rank (1 to 5) for each screen and taking the arithmetic mean. The highest PR-AUC for each dataset is highlighted in bold
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Genome Biology

ISSN: 1474-760X

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