Project measure / variable:   Wiltshire4   Tcells_BEZ_ctrl


  STRAIN COMPARISON PLOT
Dimensions Width:   px    Height:   px
Download Plot   
Visualization Options

Wiltshire4 - T cells, percent viability control



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means100   %
Median of the strain means100   %
SD of the strain means± 0
Coefficient of variation (CV)0
Min–max range of strain means100   –   100   %
Mean sample size per strain4.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 33 0.0002 0.0 0.0 1.0
Residuals 99 1194.3468 12.0641


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ m 100.0 1.32   4 0.658 0.0132 98.5, 102.0 0.0
129X1/SvJ m 100.0 5.4   4 2.7 0.054 93.4, 106.0 0.0
A/J m 100.0 1.82   4 0.909 0.0182 97.9, 102.0 0.0
AKR/J m 100.0 0.1   4 0.05 0.001 100.0, 100.0 0.0
BALB/cByJ m 100.0 1.17   4 0.587 0.0117 98.8, 102.0 0.0
BTBR T+ Itpr3tf/J m 100.0 1.47   4 0.734 0.0147 97.9, 101.0 0.0
BUB/BnJ m 100.0 1.29   4 0.643 0.0129 98.9, 102.0 0.0
C3H/HeJ m 100.0 0.517   4 0.259 0.00517 99.5, 101.0 0.0
C57BL/6J m 100.0 0.749   4 0.374 0.00749 99.1, 101.0 0.0
C57BLKS/J m 100.0 3.16   4 1.58 0.0316 97.2, 105.0 0.0
C58/J m 100.0 4.19   2   2.96 0.0419 97.0, 103.0 0.0
CBA/J m 100.0 4.36   4 2.18 0.0436 96.0, 106.0 0.0
CZECHII/EiJ m 100.0 3.29   4 1.64 0.0329 96.6, 104.0 0.0
DBA/2J m 100.0 2.28   4 1.14 0.0228 97.2, 103.0 0.0
FVB/NJ m 100.0 1.45   4 0.723 0.0145 98.2, 102.0 0.0
I/LnJ m 100.0 0.851   4 0.426 0.00851 98.8, 101.0 0.0
KK/HlJ m 100.0 4.81   4 2.41 0.0481 93.5, 104.0 0.0
LG/J m 100.0 6.61   4 3.31 0.0661 93.1, 107.0 0.0
LP/J m 100.0 3.24   4 1.62 0.0324 96.5, 103.0 0.0
MA/MyJ m 100.0 0.432   4 0.216 0.00432 99.5, 101.0 0.0
NOD/ShiLtJ m 100.0 2.73   4 1.36 0.0273 96.0, 102.0 0.0
NON/ShiLtJ m 100.0 5.13   4 2.56 0.0513 94.6, 106.0 0.0
NZB/BlNJ m 100.0 0.252   4 0.126 0.00252 99.7, 100.0 0.0
NZO/HlLtJ m 100.0 2.45   4 1.23 0.0245 96.5, 102.0 0.0
NZW/LacJ m 100.0 1.85   4 0.924 0.0185 97.5, 102.0 0.0
PERA/EiJ m 100.0 9.03   4 4.52 0.0903 93.3, 113.0 0.0
PL/J m 100.0 1.66   4 0.828 0.0166 97.8, 102.0 0.0
PWD/PhJ m 100.0 2.79   4 1.39 0.0279 97.3, 104.0 0.0
PWK/PhJ m 100.0 5.82   4 2.91 0.0582 91.6, 105.0 0.0
RIIIS/J m 100.0 1.36   4 0.68 0.0136 98.4, 101.0 0.0
SEA/GnJ m 100.0 1.46   4 0.73 0.0146 97.9, 101.0 0.0
SJL/J m 100.0 4.77   4 2.39 0.0477 95.4, 105.0 0.0
SM/J m 100.0 1.62   4 0.811 0.0162 97.6, 101.0 0.0
WSB/EiJ m 100.0 6.5   3 3.75 0.065 92.5, 104.0 0.0


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 100.0 1.7367 103.4459 96.5541
129X1/SvJ m 99.9975 1.7367 103.4434 96.5516
A/J m 100.0 1.7367 103.4459 96.5541
AKR/J m 100.0 1.7367 103.4459 96.5541
BALB/cByJ m 100.0 1.7367 103.4459 96.5541
BTBR T+ Itpr3tf/J m 100.0 1.7367 103.4459 96.5541
BUB/BnJ m 100.0 1.7367 103.4459 96.5541
C3H/HeJ m 100.0 1.7367 103.4459 96.5541
C57BL/6J m 100.0025 1.7367 103.4484 96.5566
C57BLKS/J m 100.0025 1.7367 103.4484 96.5566
C58/J m 100.0 2.456 104.8733 95.1267
CBA/J m 100.0 1.7367 103.4459 96.5541
CZECHII/EiJ m 99.9975 1.7367 103.4434 96.5516
DBA/2J m 100.0 1.7367 103.4459 96.5541
FVB/NJ m 99.9975 1.7367 103.4434 96.5516
I/LnJ m 99.9975 1.7367 103.4434 96.5516
KK/HlJ m 100.0 1.7367 103.4459 96.5541
LG/J m 100.0 1.7367 103.4459 96.5541
LP/J m 100.0 1.7367 103.4459 96.5541
MA/MyJ m 100.0 1.7367 103.4459 96.5541
NOD/ShiLtJ m 100.0025 1.7367 103.4484 96.5566
NON/ShiLtJ m 100.0 1.7367 103.4459 96.5541
NZB/BlNJ m 100.0 1.7367 103.4459 96.5541
NZO/HlLtJ m 100.0 1.7367 103.4459 96.5541
NZW/LacJ m 100.0 1.7367 103.4459 96.5541
PERA/EiJ m 100.0 1.7367 103.4459 96.5541
PL/J m 100.0 1.7367 103.4459 96.5541
PWD/PhJ m 99.9975 1.7367 103.4434 96.5516
PWK/PhJ m 100.0 1.7367 103.4459 96.5541
RIIIS/J m 100.0025 1.7367 103.4484 96.5566
SEA/GnJ m 100.0 1.7367 103.4459 96.5541
SJL/J m 99.9975 1.7367 103.4434 96.5516
SM/J m 100.0 1.7367 103.4459 96.5541
WSB/EiJ m 100.0 2.0053 103.979 96.021




  GWAS USING LINEAR MIXED MODELS