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Table 1 Summary of HKG Datasets Defined in This Study Using 9 Different Normalization Methods

From: Defining housekeeping genes suitable for RNA-seq analysis of the human allograft kidney biopsy tissue

Normalization methods

Expression ratio*

Bias**

Variance**

0–0.01 (%)

0.01–0.05 (%)

0.05–0.20 (%)

0.20–0.40 (%)

0.40–0.60 (%)

0.60–0.80 (%)

0.80–1.0 (%)

TC

396 (41.60)

473 (49.68)

78 (8.19)

1 (0.11)

1 (0.11)

0 (0)

3 (0.32)

0.74

0.55

UQ

216 (22.69)

612 (64.29)

115 (12.08)

3 (0.32)

4 (0.42)

1 (0.11)

1 (0.11)

0.45

0.21

Median

157 (16.49)

643 (67.54)

142 (14.92)

7 (0.74)

2 (0.21)

0 (0)

1 (0.11)

0.45

0.22

Quantile

125 (13.13)

655 (68.80)

161 (16.91)

6 (0.63)

3 (0.32)

1 (0.11)

1 (0.11)

0.42

0.18

TMM

236 (24.79)

599 (62.92)

108 (11.34)

4 (0.42)

4 (0.42)

0 (0)

1 (0.11)

0.47

0.23

DESeq

231 (24.26)

610 (64.08)

104 (10.89)

4 (0.42)

2 (0.21)

0 (0)

1 (0.11)

0.43

0.19

TPM

157 (16.49)

643 (67.54)

142 (14.92)

7 (0.74)

2 (0.21)

0 (0)

1 (0.11)

0.45

0.22

RPKM

603 (63.34)

319 (33.51)

26 (2.73)

2 (0.21)

0 (0)

0 (0)

2 (0.21)

1.04

1.03

Lib_size

202 (21.22)

617 (64.81)

123 (12.92)

7 (0.74)

2 (0.21)

0 (0)

1 (0.11)

0.43

0.20

  1. Abbreviations: TC total counts, UQ upper quantile, TMM trimmed mean of M-values, DESeq a differential expression package implemented in R, TPM transcripts per kilobase million, RPKM reads per kilobase per million mapped reads, Lib_size library size
  2. *The expression ratio of each housekeeping gene was calculated by its mean normalized read divided by the maximum reads in its corresponding HKG set
  3. **The bias and variance of each normalization method was calculated by the formulae