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Table 1 Correlations between SE and variance, and between SE and \( \frac{1}{2}\ln \left( {2\pi eV} \right) \), on 16 microarray gene expression datasets

From: EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression

Datasets

Correlation Between SE and Variance

Correlation between SE and \( \frac{1}{2}\ln \left( {2\pi eV} \right) \)

Case

Control

Case

Control

Allergic Rhinitis

−0.5515

−0.5769

−0.9703

−0.9658

Asthma_GSE4302

−0.4272

−0.4677

−0.1924

−0.2004

BreastCancer_GSE10810

−0.3942

−0.3378

−0.1810

−0.1265

CLL_GSE8835

0.2251

0.2522

−0.0806

−0.0624

ColorectalCancer_GSE9348

0.3122

0.4454

−0.0086

0.0206

CrohnsDisease_GSE6731

−0.2826

−0.2380

−0.1664

−0.4020

LungAdenocarcinoma_GSE7670

0.0725

0.3360

−0.0173

0.0105

MS_GDS3920

−0.3615

−0.3320

−0.0515

−0.0559

Obesity_GSE12050

0.9998

0.9990

0.1584

0.5420

Pancreas_GDS4102

−0.4137

−0.4455

−0.1331

−0.0890

ParkinsonsDisease_GSE20141

−0.1732

−0.2554

−0.0024

−0.0155

ProstateCancer_GSE6919_GPL8300

0.2118

0.1552

−0.0562

−0.0699

Psoriasis_GSE13355

−0.6386

−0.6554

−0.5200

−0.6779

Schizophrenia_GSE17612

0.3632

0.3910

0.0170

0.0235

T2D_GSE20966

−0.6006

−0.5550

−0.4356

−0.4663

UlcerativeColitis_GSE6731

−0.3112

−0.2555

−0.1799

−0.1451