From: A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases
Minimum | 25 % percentile | Median | 75 % percentile | Maximum | Mean | Std. deviation | Coefficient of variation (%) | |
---|---|---|---|---|---|---|---|---|
DHX9 | 16.00 | 27.00 | 36.00 | 47.50 | 97.00 | 39.22 | 14.56 | 37.14 |
MZT2B | 0.0 | 2.000 | 7.000 | 12.00 | 39.00 | 7.896 | 6.834 | 86.55 |
UBXN4 | 0.0 | 15.00 | 21.00 | 30.50 | 95.00 | 23.94 | 12.93 | 54.04 |
ANKRD17 | 3.000 | 15.00 | 27.00 | 40.00 | 60.00 | 27.55 | 13.88 | 50.37 |
LARP1 | 1.000 | 12.00 | 26.00 | 35.00 | 61.00 | 25.53 | 13.92 | 54.54 |
TAF2 | 2.000 | 15.00 | 23.00 | 34.00 | 53.00 | 23.94 | 11.95 | 49.94 |
CCSER2 | 2.000 | 17.50 | 24.00 | 34.00 | 58.00 | 25.58 | 11.64 | 45.50 |
STX5 | 0.0 | 14.00 | 33.00 | 44.50 | 95.00 | 32.82 | 21.33 | 65.00 |
TMEM11 | 0.0 | 7.000 | 11.00 | 18.00 | 108.0 | 14.10 | 12.07 | 85.62 |
SYMPK | 2.000 | 9.000 | 16.00 | 24.00 | 58.00 | 17.40 | 10.58 | 60.80 |
PUM1 | 4.000 | 15.00 | 20.00 | 29.50 | 76.00 | 22.63 | 11.32 | 50.03 |
DIMT1 | 0.0 | 16.00 | 27.00 | 35.00 | 85.00 | 27.93 | 15.46 | 55.38 |
ACTB | 7.000 | 37.50 | 59.00 | 102.5 | 1232 | 87.07 | 108.7 | 124.8 |
GUSB | 11.00 | 29.00 | 45.00 | 64.00 | 177.0 | 53.06 | 32.19 | 60.67 |
GAPDH | 9.000 | 19.00 | 39.00 | 157.0 | 437.0 | 97.21 | 98.85 | 101.6 |
TUBA1A | 0.0 | 7.000 | 13.00 | 44.00 | 158.0 | 26.07 | 24.98 | 95.80 |
B2M | 0.0 | 13.00 | 23.00 | 37.00 | 26248 | 608.1 | 3264 | 536.73 |
RPL13A | 12.00 | 34.00 | 73.00 | 185.0 | 26248 | 1094 | 4564 | 417.25 |
PGK1 | 4.000 | 42.00 | 52.00 | 71.50 | 146.0 | 59.78 | 29.30 | 49.02 |