Validation of candidate genes and regulators

Gene candidates for Fluidigm validation

SymbolModuleTypeCorrelationZ.scoreMinMaxMeanMedianVarianceTaqMan.IDp-valueMA/Flu CorrelationEfficiency
ifi20402regulator0.916.332.219.583.802.665.35Mm00492602_m1*1.590e-3-9.120e-19.760e-1
maf02regulator0.926.183.189.005.004.312.97Mm02581355_s1*3.320e-2-7.470e-15.950e-1
irf802regulator0.866.153.429.786.526.303.03Mm01250091_m11.220e-2-8.230e-19.660e-1
tifab02exemplar0.970.003.178.324.483.892.49Mm04210261_m1*1.250e-1-5.880e-11.012e+0
ifnar203regulator0.954.234.879.908.128.351.67Mm00494916_m1*1.890e-1-5.170e-19.170e-1
hcls103regulator0.974.392.469.117.217.833.27Mm00468528_m1*7.450e-11.380e-11.960e-1
evi2a03exemplar0.980.002.618.076.546.842.02Mm03030107_s1*5.800e-2-6.900e-11.124e+0
evi107regulator0.877.052.927.895.565.332.49Mm00514814_m1*4.580e-2-7.160e-18.270e-1
hoxa907regulator0.897.233.5310.226.947.065.61Mm00439364_m1*2.460e-5-9.780e-17.530e-1
prdm1607regulator0.917.153.867.715.755.411.30Mm00712556_m1*3.290e-3-8.870e-17.750e-1
hoxa1007regulator0.947.972.415.583.953.491.26Mm00433966_m1*2.790e-5-9.780e-19.030e-1
eya107exemplar0.970.003.427.634.974.441.52Mm00438796_m1*6.380e-2-6.790e-11.212e+0
myb10regulator0.925.574.7411.689.8910.773.54Mm00501741_m1*5.100e-3-8.690e-11.223e+0
mpl10regulator0.915.644.6810.348.248.682.74Mm00440310_m1*3.690e-4-9.460e-11.011e+0
erg10regulator0.956.624.5910.108.128.562.63Mm00504897_m15.320e-12.610e-1-1.000e+0
angpt110exemplar0.970.003.4310.647.648.494.31Mm00456503_m1*1.070e-3-9.230e-11.128e+0
gimap611exemplar0.930.003.5011.007.908.434.82Mm00462641_m1*1.070e-4-9.650e-18.150e-1
nmi12regulator0.895.725.1510.408.479.082.14Mm00803857_m1*6.910e-3-8.540e-11.092e+0
irf912regulator0.937.424.719.107.407.751.25Mm00492673_m14.440e-3-8.750e-19.800e-1
ai45161712exemplar0.970.003.438.446.006.422.15Mm01162558_m1*1.850e-3-9.070e-11.149e+0
osgin112regulator0.896.134.278.096.717.171.11Mm00660947_m1*7.670e-3-8.490e-18.050e-1
cxcl217exemplar0.950.002.6913.505.523.4812.44Mm00436450_m1*3.330e-4-9.480e-19.650e-1
fosl217regulator0.847.215.299.206.646.410.84Mm00484442_m1*2.050e-2-7.870e-11.029e+0
rel17regulator0.897.713.689.065.985.731.73Mm01239661_m1*3.370e-2-7.460e-19.120e-1
nr4a317regulator0.917.523.836.914.544.280.44Mm00450074_m1*4.250e-3-8.770e-11.157e+0
rps6ka419regulator0.786.053.837.175.255.170.67Mm00451280_m1*9.270e-3-8.390e-11.324e+0
tcfe319regulator0.875.566.4010.558.327.941.16Mm01341186_m1*1.510e-2-8.080e-11.240e+0
wwp119regulator0.865.405.988.517.076.980.34Mm01210682_m1*2.230e-2-7.800e-11.073e+0
cttnbp2nl19exemplar0.960.003.258.695.144.402.30Mm00518765_m1*1.460e-2-8.110e-17.770e-1
mc2r27exemplar0.970.002.2210.163.322.872.90Mm01262510_m1*1.610e-6-9.910e-11.021e+0
dpf327regulator0.674.964.346.034.914.820.13Mm00475440_m1*2.750e-3-8.940e-18.710e-1
celsr129exemplar0.930.002.857.164.744.421.33Mm00464808_m1*3.550e-2-7.410e-19.770e-1
b930041f14rik29regulator0.846.834.217.505.885.800.74Mm00844649_s1*5.230e-2-7.020e-17.510e-1
pml29regulator0.875.435.328.766.576.350.77Mm00476969_m1*6.830e-1-1.730e-11.146e+0
klf1229regulator0.846.123.175.474.204.120.32Mm00516098_m1*1.790e-2-7.970e-11.033e+0
zdhhc1638regulator0.754.267.629.128.528.570.13Mm00470108_m1*7.980e-2-6.520e-11.085e+0
zdhhc2138regulator0.784.396.308.807.547.640.35Mm00509795_m1*4.400e-2-7.200e-17.510e-1
pip4k2a38exemplar0.940.005.719.517.788.110.77Mm00435721_m1*6.460e-1-1.940e-15.600e-1
foxn238regulator0.784.745.488.326.916.830.49Mm00839106_g18.000e-1-1.080e-18.820e-1
esr139regulator0.957.942.717.133.403.100.99Mm00433149_m1*6.720e-3-8.560e-19.760e-1
zbtb2039regulator0.886.513.727.134.754.570.57Mm00457765_m1*1.060e-2-8.310e-11.186e+0
aldh1a139exemplar0.960.002.5010.553.512.913.71Mm00657317_m1*2.980e-6-9.890e-18.940e-1
foxa339regulator0.886.503.257.854.554.311.26Mm00484714_m1*4.910e-3-8.710e-11.049e+0
cebpa40regulator0.876.763.369.566.356.172.95Mm00514283_s1*1.750e-1-5.320e-11.218e+0
slc16a1040exemplar0.910.004.247.375.885.950.85Mm00661045_m1*5.430e-3-8.660e-19.020e-1
ddx5842regulator0.816.053.957.295.755.860.60Mm00554529_m1*1.050e-1-6.150e-11.197e+0
ldhb42exemplar0.930.006.5312.679.529.822.36Mm00493146_m1*8.190e-2-6.490e-11.400e+0
dedd242regulator0.705.765.147.476.576.600.38Mm01149726_m1*2.690e-1-4.450e-11.094e+0
hoxd843regulator0.907.493.267.854.303.871.29Mm03016337_m1*3.330e-3-8.870e-18.030e-1
reln43exemplar0.960.002.857.363.693.281.12Mm00465200_m1*2.270e-6-9.900e-18.120e-1
hoxd143regulator0.958.642.067.193.032.561.87Mm00439370_g1*1.440e-4-9.610e-19.450e-1
nubp144exemplar0.920.006.358.667.517.490.33Mm00478752_m1*4.220e-1-3.320e-11.134e+0
gtf2f244regulator0.836.087.8310.649.179.100.49Mm01310683_m1*2.190e-1-4.890e-17.750e-1
gsta447exemplar0.950.004.6813.418.618.005.15Mm00494803_m1*1.200e-2-8.230e-17.780e-1
irf449regulator0.806.503.546.284.324.090.40Mm00516431_m1*3.250e-2-7.490e-11.009e+0
traf149exemplar0.930.003.399.384.964.612.12Mm00493827_m1*7.840e-3-8.480e-11.579e+0
mxd149regulator0.907.195.649.086.736.600.60Mm00487504_m1*4.890e-3-8.710e-11.176e+0
6332401o19rik55exemplar0.970.002.977.163.533.390.49Mm00844775_s1*8.740e-16.700e-21.250e+0
nr1h355regulator0.914.884.7010.655.755.461.29Mm00443451_m1*7.870e-2-6.540e-18.020e-1
ppp1r14c58exemplar0.940.002.907.304.353.861.13Mm00652462_m11.080e-1-6.110e-18.210e-1
fosb59regulator0.888.282.6910.635.593.808.33Mm00500401_m1*2.150e-3-9.030e-11.195e+0
egr359regulator0.928.684.068.275.654.921.80Mm00516979_m1*2.170e-3-9.020e-18.220e-1
hspa1b59exemplar0.950.003.0111.406.835.577.46Mm03038954_s1*2.310e-1-4.780e-18.180e-1
klf659regulator0.938.675.9110.908.127.502.32Mm00516184_m1*1.170e-3-9.210e-11.235e+0
fmnl262regulator0.735.043.809.728.028.271.24Mm00549621_m16.200e-2-6.830e-19.860e-1
ampd362exemplar0.850.002.618.116.596.811.16Mm00477495_m1*1.150e-3-9.210e-11.156e+0
  • Type indicates if the candidate is an exemplar (most higly correlated with module profile), or one of the top three predicted regulators, or a control gene.
  • Correlation is the Pearson correlation of the candidate gene expression with the module profile in the microarray data.
  • Z.score: the CLR-calculated Z-score representing the significance of the association between the candidate regulator and module.
  • Minimum, Maximum, Mean, Median, and Variance: Range, center and variance estimates for the gene expression from the microarray data.
  • TaqMan.ID: Assay identifier used in the Fluidigm experiments.
  • MA/Flu Correlation: Pearson correlation between the biological-grouped averaged microarray expression values and Fluidigm deltaCts.
  • Efficiency: TaqMan efficiency estimate as determined by estimating the slope of a standard curve with six ten fold dilutions of a pooled sample and the formula: effeciency = 10^(-1/slope)-1.