SampleNames: EF1_280C_1 EF1_VibC1_1 EF1_VibVE4_1 EF1_VibC1_2 EF1_VibVE4_2 Fas_280C_1 Fas_VibC1_1 Fas_VibVE4_1 Fas_VibVE2_2 blank_blank_1 blank_blank_1 blank_blank_1 EF1_380A_1 EF1_VibC2_1 EF1_VibVE5_1 EF1_VibC2_2 EF1_VibVE5_2 Fas_380A_1 Fas_VibC2_1 Fas_VibVE5_1 Fas_VibVE3_2 blank_blank_2 blank_blank_2 blank_blank_2 EF1_750E_1 EF1_VibC3_1 EF1_neg_1 EF1_VibC3_2 EF1_blank_1 Fas_750E_1 Fas_VibC3_1 Fas_VibC1_2 Fas_VibVE4_2 blank_blank_3 blank_blank_3 blank_blank_3 EF1_2000A_1 EF1_VibC4_1 EF1_neg_2 EF1_VibC4_2 EF1_blank_2 Fas_2000A_1 Fas_VibC4_1 Fas_VibC2_2 Fas_VibVE5_2 blank_blank_4 blank_blank_4 blank_blank_4 EF1_280C_2 EF1_VibC5_1 EF1_neg_3 EF1_VibC5_2 EF1_blank_3 Fas_280C_2 Fas_VibC5_1 Fas_VibC3_2 Fas_neg_1 blank_blank_5 blank_blank_5 blank_blank_5 EF1_380A_2 EF1_VibVE1_1 EF1_blank_4 EF1_VibVE1_2 EF1_blank_5 Fas_380A_2 Fas_VibVE1_1 Fas_VibC4_2 Fas_neg_2 blank_blank_6 blank_blank_6 blank_blank_6 EF1_750E_2 EF1_VibVE2_1 EF1_blank_7 EF1_VibVE2_2 EF1_blank_8 Fas_750E_2 Fas_VibVE2_1 Fas_VibC5_2 Fas_neg_3 blank_blank_7 blank_blank_7 blank_blank_7 EF1_2000A_2 EF1_VibVE3_1 EF1_blank_9 EF1_VibVE3_2 EF1_blank_10 Fas_2000A_2 Fas_VibVE3_1 Fas_VibVE1_2 Fas_blank_1 blank_blank_8 blank_blank_8 blank_blank_8 Logistic_a: 16562.7 2078.86 1677.89 2063.86 1888.34 450.811 23548.3 1074.98 22348 11.456 8.59188 366.232 1687.66 1718.35 1765.67 1939.61 1775 23119.9 19990.4 22119.8 27322.4 1.47782 5.97729 5.83336 3030.5 1792.46 92.5239 1815.84 28.3957 469.228 16614.3 23217.4 2489.31 2.45225 1214.44 10.2094 17299 1685.35 23.4776 1769.76 32.7684 67.4513 27362.7 30811.5 14274.6 8.88272 10.8692 10.4018 15299.3 1614.13 112.595 1780.65 76.3448 34789.1 7991.56 19385.3 55.0313 7.98792 1.5105 207493 1599.04 1850.34 46.7504 1657.4 100.41 19971.1 26812.7 34581.7 98.9107 2.75484 8.78595 8.68744 7131.86 1630.47 67.0701 1783.3 75.3058 1060.07 19048.6 17398.6 89.7461 2.87795 8.19257 2.78827 28549.3 1693.6 55.7245 1799.41 33.7979 113.09 9907.03 24020.8 30.4118 8.82587 5.81768 1.1148 Logistic_b: -18.3088 -18.2181 -18.727 -19.038 -18.8062 -0.477231 -11.4518 -0.906096 -18.0133 -0.0690998 0.0297906 -3.48677 -16.5619 -17.5749 -18.319 -17.4998 -18.3314 -17.3641 -12.673 -12.7963 -13.0544 1370.64 -0.549968 -0.12473 -18.5135 -17.6296 -0.633861 -17.0753 -1.16417 -0.852255 -17.9735 -14.2391 -13.768 -7.3734 -3.51551 -0.0514207 -18.1955 -17.8994 -1.73603 -17.9493 -1.25235 -0.955692 -13.7053 -13.4542 -16.1223 -0.096234 -1.79003 -0.0653031 -18.4477 -18.5563 -0.534051 -18.6525 -0.779587 -15.6109 -1.89863 -17.6458 -0.893264 -0.00104906 14.4008 -15.0931 -16.7539 -18.4384 -0.830078 -18.3608 -0.705375 -17.7308 -17.3212 -14.242 -0.62897 -0.704556 0.100901 -0.0619371 -17.4288 -17.7902 -0.599934 -17.5224 -0.458478 -0.947732 -17.6169 -12.1121 -0.70221 1.5551 -0.000124746 1.96406 -16.7036 -18.3283 -0.782881 -18.7456 -1.32984 -0.602899 -7.57847 -12.1087 -1.59303 -0.133546 0.470493 1199.38 Logistic_X0: 49.3095 41.2682 38.5309 40.4063 38.8154 119.507 67.161 1556.07 52.9831 249.783 1.39611 171.969 38.1679 37.4074 38.8358 37.1804 38.498 50.6108 61.7019 62.1294 62.8627 29.6251 1.74E-12 1.15E-14 42.9743 37.4209 151.972 36.4621 18.6692 666.46 51.494 59.3986 50.1031 10.6536 274.904 13766.8 51.0177 38.0544 17.5404 37.7665 25.4862 12.0151 60.2121 61.6368 53.8618 389.717 118.199 0.987666 49.1711 39.0414 104.59 38.9842 138.081 57.8125 606.609 52.2073 61.9116 1.43E-06 19.7238 85.6586 36.5269 38.4925 36.4925 38.18 124.924 50.1304 54.238 60.006 133.106 1.64906 0.473644 0.435709 46.5563 37.3119 67.0031 37.4326 75.5245 1341.99 52.4059 62.7752 119.451 4.47946 1.84E-19 10.95 54.8569 39.2168 52.3486 38.7756 28.1895 142.097 79.2844 63.8862 28.3534 3.78E+06 0.364311 20.0914 Logistic_Y0: 2453.71 2447.46 2431.37 2422.87 2395.62 2465.88 2375.51 2359.75 2407.23 2207.4 2206.74 2251.65 2447.6 2470.71 2481.2 2448.01 2418.93 2430.96 2384 2369.48 2399.55 2245.36 2212.23 2222.26 2400.77 2428.99 2426.84 2465.61 2571.96 2377.17 2401.66 2382.47 2423.38 2220.04 2196.87 2217.52 2399.2 2447.68 2380.24 2402.92 2594.99 2372.35 2405.22 2391.03 2391.99 2199.86 2196.09 2206.12 2398.19 2421.77 2389.45 2415.63 2601.96 2411.05 2392.15 2381.03 2350.36 2193.78 2189.85 2205 2412.37 2447.79 2432.45 2401.53 2705.24 2433.96 2405.08 2407.36 2366.58 2197.15 2202.8 2212.29 2399.5 2404.26 2422.63 2399 2574.85 2402.08 2419.89 2414.19 2373.78 2198.67 2193.01 2210.97 2397.09 2417.05 2461.7 2381.48 2601.59 2365.81 2373.98 2395.7 2442.91 2211.86 2222.24 2211.23 Logistic_Pvalue: 0 1.11E-16 0 0 1.11E-16 2.22E-16 9.44E-14 3.93E-14 2.22E-16 0.967616 0.998814 0.426431 0 0 1.11E-16 2.22E-16 2.22E-16 2.22E-16 0 3.33E-16 6.22E-15 0.125285 0.999851 0.999996 1.11E-16 0 3.33E-16 0 0 1.11E-16 0 2.22E-16 0 0.0144792 0.740875 0.992397 4.44E-16 1.11E-16 2.22E-16 2.22E-16 4.44E-16 3.33E-16 5.55E-16 7.77E-16 0 0.954158 0.704211 0.982993 0 0 0 0 1.11E-16 1.11E-16 1.08E-10 2.22E-16 4.44E-16 0.999991 0.324844 0.58535 1.11E-16 0 0 0 0 4.44E-16 0 2.22E-16 3.33E-16 0.856265 0.95433 0.99086 0 0 2.22E-16 1.11E-16 1.11E-16 5.55E-16 2.22E-16 0 2.22E-16 0.0925866 1 0.158471 0 0 5.55E-16 0 0 1.11E-16 2.12E-13 5.55E-16 2.22E-16 0.983769 0.69513 0.623595 Noise(SPE): 46.798 1.28888 0.848408 1.26782 1.14988 75.2267 41.1517 31.472 48.7779 13.3041 13.4499 15.3652 1.29646 1.04947 1.37215 1.05647 1.09085 65.7632 40.224 42.2762 43.5807 0.533283 12.6325 14.3488 1.0886 1.03649 10.932 1.33822 2.441 25.7445 45.3614 41.2277 20.5242 0.706911 14.1959 14.2386 40.9813 1.1555 1.59489 1.21439 2.3233 5.36136 50.3972 48.9256 41.4151 12.4435 14.2236 14.4067 38.6754 1.16672 10.8896 1.20167 11.6742 52.7749 54.6711 44.5212 3.38321 13.0768 0.610773 12.1467 1.30068 1.28508 4.74036 1.01568 12.1219 53.8801 50.2807 55.4788 10.6762 13.4712 13.0613 14.0728 1.09126 0.997941 13.8529 1.01642 13.6935 26.1665 50.3396 38.1939 11.9474 9.24165 14.0995 13.4688 49.9941 1.27818 5.04207 1.01924 1.42634 10.6611 41.9728 45.3765 1.28567 13.1134 11.829 0.596033 EndofExpPhase(SDM): 5508.64 2830.62 2741.84 2805.63 2745.24 2745.24 6349.68 6349.68 6519.54 6519.54 6519.54 2280.97 2754.19 2785.76 2806.9 2803.4 2746.38 6662.1 5837.76 6199.17 7150.15 2245.67 2245.67 2245.67 2960.62 2757.78 2757.78 2797.07 2797.07 2797.07 5457.91 6490.16 2860.93 2220.4 2295.27 2295.27 5587.09 2757.52 2757.52 2728.41 2728.41 2728.41 7210.44 7781.83 4973.81 4973.81 4973.81 4973.81 5223.13 2720.06 2720.06 2744.93 2744.93 8669.21 8669.21 5937.33 5937.33 5937.33 2190.22 39311.2 2703.39 2789.42 2789.42 2707.36 2707.36 6100.35 7310.2 8525.89 8525.89 8525.89 8525.89 8525.89 3705.43 2703.74 2703.74 2725.81 2725.81 2725.81 5913.56 5389.86 5389.86 5389.86 5389.86 5389.86 7590.46 2729.47 2729.47 2714.48 2714.48 2714.48 3838.96 6503.7 6503.7 6503.7 6503.7 2211.47 CP(SPE): 35.7915 27.5146 25.6927 27.4011 26.1844 4.11232 38.582 32.649 37.7107 -42 -42 70.1141 24.7551 24.5522 26.2729 24.2003 25.7197 36.1152 37.8099 38.098 38.386 29.6374 -42 -42 27.9998 24.517 6.37635 23.9004 2.45047 23.6199 37.0835 38.0765 35.3813 9.42463 77.8049 -42 36.6005 25.3314 3.88046 25.1695 3.26628 0.926113 38.0366 38.1804 37.4951 -42 -42 -42 35.5615 26.4408 1.59429 26.3579 15.362 38.149 44.0808 37.0032 2.92822 -42 20.2616 44.91 23.8901 25.9479 2.63447 25.5197 7.48393 35.9153 37.7501 38.1955 4.63347 -42 -42 -42 28.1239 24.6176 7.10888 24.4412 2.84101 27.7303 37.4207 37.8768 8.28746 -42 -42 -42 37.5182 26.4936 2.74599 26.0235 2.6944 3.33242 38.5754 38.0655 3.99876 -42 -42 20.0891 CP(SDM): 45.4642 38.0328 35.5981 37.3846 35.8743 -43 58.4321 -43 48.7785 -42 -42 85.3756 34.8522 34.3592 35.8091 34.1367 35.4998 46.4328 54.5292 54.9833 55.7889 29.6535 -42 -42 39.6628 34.3818 -43 33.3972 -43 -43 47.3979 53.3197 44.7838 8.38585 137.774 -42 47.0126 35.0138 -43 34.758 -43 -43 53.7876 54.9261 49.0448 -42 -42 -42 45.3676 36.0404 -43 36.0041 -43 52.4585 -43 47.9715 -43 -42 21.3132 77.4302 33.3929 35.5134 -43 35.2117 -43 46.084 49.7486 53.8662 -43 -42 -42 -42 42.7283 34.311 -43 34.3725 -43 -43 48.1464 55.1054 -43 -42 -42 -42 50.135 36.1621 -43 35.8273 -43 -43 62.9249 56.0783 -43 -42 -42 20.1134 DynamicThreshold: 4004.58 2639.68 2587.03 2614.88 2571.01 2643.17 4383.17 4370.45 4487.77 4370.12 4369.86 2273.99 2601.54 2628.76 2644.74 2626.23 2583.2 4579.41 4130.99 4305.46 4796.64 2245.78 2235.27 2241.14 2681.24 2593.91 2597.78 2632.01 2685.74 2599.99 3952.47 4456.93 2652.42 2220.57 2253.17 2263.52 4013.64 2603.18 2569.68 2566.27 2662.86 2553.06 4833.03 5110.89 3703.6 3593.05 3592.06 3597.17 3830 2571.5 2560.2 2580.88 2679.28 5566.52 5558.01 4181.45 4145.54 4072.1 2190.34 20764.2 2558.53 2619.25 2613.31 2554.95 2712.36 4294.09 4882.78 5494.37 5451.58 5368.26 5370.88 5376.13 3053.01 2554.5 2570.11 2562.91 2657.17 2577.03 4191.89 3921.12 3887.79 3798.88 3798.48 3807.15 5018.77 2573.9 2598.11 2548.49 2658.75 2545.48 3127.46 4472.39 4473.95 4364.34 4368.89 2211.65 LowerCycleNumber: 36 28 26 27 26 Error! Error! Error! Error! Error! Error! Error! 25 25 26 24 26 36 Error! Error! Error! Error! Error! Error! 28 25 Error! 24 Error! Error! Error! Error! 35 Error! Error! Error! Error! 25 Error! 25 Error! Error! Error! Error! Error! Error! Error! Error! 36 26 Error! 26 Error! Error! Error! Error! Error! Error! Error! Error! 24 26 Error! 26 Error! 36 Error! Error! Error! Error! Error! Error! 28 25 Error! 24 Error! Error! Error! Error! Error! Error! Error! Error! Error! 26 Error! 26 Error! Error! Error! Error! Error! Error! Error! Error! UpperCycleNumber: 40 38 36 37 36 Error! Error! Error! Error! Error! Error! Error! 35 34 36 34 35 40 Error! Error! Error! Error! Error! Error! 40 34 Error! 33 Error! Error! Error! Error! 40 Error! Error! Error! Error! 35 Error! 35 Error! Error! Error! Error! Error! Error! Error! Error! 40 36 Error! 36 Error! Error! Error! Error! Error! Error! Error! Error! 33 36 Error! 35 Error! 40 Error! Error! Error! Error! Error! Error! 40 34 Error! 34 Error! Error! Error! Error! Error! Error! Error! Error! Error! 36 Error! 36 Error! Error! Error! Error! Error! Error! Error! Error! PointsForRegression: 5 11 11 11 11 Error! Error! Error! Error! Error! Error! Error! 11 10 11 11 10 5 Error! Error! Error! Error! Error! Error! 13 10 Error! 10 Error! Error! Error! Error! 6 Error! Error! Error! Error! 11 Error! 11 Error! Error! Error! Error! Error! Error! Error! Error! 5 11 Error! 11 Error! Error! Error! Error! Error! Error! Error! Error! 10 11 Error! 10 Error! 5 Error! Error! Error! Error! Error! Error! 13 10 Error! 11 Error! Error! Error! Error! Error! Error! Error! Error! Error! 11 Error! 11 Error! Error! Error! Error! Error! Error! Error! Error! Number_OfRegressionWindows: 1 1708 1687 1698 1714 Error! Error! Error! Error! Error! Error! Error! 1679 781 1713 1723 735 1 Error! Error! Error! Error! Error! Error! 7515 792 Error! 787 Error! Error! Error! Error! 7 Error! Error! Error! Error! 1636 Error! 1694 Error! Error! Error! Error! Error! Error! Error! Error! 1 1667 Error! 1699 Error! Error! Error! Error! Error! Error! Error! Error! 777 1711 Error! 767 Error! 1 Error! Error! Error! Error! Error! Error! 7591 773 Error! 1718 Error! Error! Error! Error! Error! Error! Error! Error! Error! 1561 Error! 1726 Error! Error! Error! Error! Error! Error! Error! Error! WeightedAverage_OfPvalue: 0.0129915 0.00200173 0.00191718 0.00199761 0.00190698 Error! Error! Error! Error! Error! Error! Error! 0.00187437 0.00239053 0.00182784 0.00180635 0.00283889 0.0137615 Error! Error! Error! Error! Error! Error! 0.00124495 0.00234964 Error! 0.0024253 Error! Error! Error! Error! 0.019642 Error! Error! Error! Error! 0.0020539 Error! 0.00203204 Error! Error! Error! Error! Error! Error! Error! Error! 0.0165808 0.00201911 Error! 0.00170046 Error! Error! Error! Error! Error! Error! Error! Error! 0.00251175 0.00192809 Error! 0.00279601 Error! 0.0150395 Error! Error! Error! Error! Error! Error! 0.000871784 0.00257539 Error! 0.00172539 Error! Error! Error! Error! Error! Error! Error! Error! Error! 0.00202479 Error! 0.00182274 Error! Error! Error! Error! Error! Error! Error! Error! Stderr_OfWeightedPvalue: 0 0.000196703 0.000179929 0.000194992 0.000194744 Error! Error! Error! Error! Error! Error! Error! 0.000221763 0.000316762 0.000188183 0.000208142 0.000337947 0 Error! Error! Error! Error! Error! Error! 6.90E-05 0.00034646 Error! 0.000339888 Error! Error! Error! Error! 0.00522277 Error! Error! Error! Error! 0.000222109 Error! 0.00020396 Error! Error! Error! Error! Error! Error! Error! Error! 0 0.000207211 Error! 0.000192069 Error! Error! Error! Error! Error! Error! Error! Error! 0.000348754 0.000207327 Error! 0.000359776 Error! 0 Error! Error! Error! Error! Error! Error! 6.06E-05 0.000340362 Error! 0.0001989 Error! Error! Error! Error! Error! Error! Error! Error! Error! 0.000195651 Error! 0.000216282 Error! Error! Error! Error! Error! Error! Error! Error! WeightedAverage_OfEfficiency: 1.00004 0.753614 0.722497 0.798692 0.788073 Error! Error! Error! Error! Error! Error! Error! 0.68189 0.751439 0.724441 0.741874 0.799193 0.981736 Error! Error! Error! Error! Error! Error! 0.723494 0.771194 Error! 0.698114 Error! Error! Error! Error! 0.74864 Error! Error! Error! Error! 0.793744 Error! 0.788161 Error! Error! Error! Error! Error! Error! Error! Error! 1.09627 0.725634 Error! 0.691837 Error! Error! Error! Error! Error! Error! Error! Error! 0.714188 0.729127 Error! 0.820986 Error! 0.971091 Error! Error! Error! Error! Error! Error! 0.646266 0.770556 Error! 0.72233 Error! Error! Error! Error! Error! Error! Error! Error! Error! 0.728687 Error! 0.745059 Error! Error! Error! Error! Error! Error! Error! Error! Stderr_OfWeightedEfficiency: 0 0.00262285 0.00297835 0.00248235 0.00317894 Error! Error! Error! Error! Error! Error! Error! 0.00227839 0.00334163 0.0026414 0.00196092 0.00615389 0 Error! Error! Error! Error! Error! Error! 0.0012105 0.00322194 Error! 0.0031344 Error! Error! Error! Error! 0.0489084 Error! Error! Error! Error! 0.00331141 Error! 0.00259263 Error! Error! Error! Error! Error! Error! Error! Error! 0 0.00330909 Error! 0.00238473 Error! Error! Error! Error! Error! Error! Error! Error! 0.00295763 0.0025189 Error! 0.00423017 Error! 0 Error! Error! Error! Error! Error! Error! 0.000948379 0.00363928 Error! 0.00198976 Error! Error! Error! Error! Error! Error! Error! Error! Error! 0.00450406 Error! 0.00190016 Error! Error! Error! Error! Error! Error! Error! Error! CT: 43.5596 36.4058 34.1136 35.8512 34.3855 -43 54.5915 -43 46.6933 -42 -42 78.5115 33.2212 32.8379 34.2871 32.6184 33.9901 44.3872 51.275 51.7291 52.5403 29.6448 -42 -42 37.9888 32.8637 -43 31.8788 -43 -43 45.3756 50.4623 42.4277 8.95352 116.309 -42 45.0248 33.4913 -43 33.2506 -43 -43 50.8011 51.8169 46.7274 -42 -42 -42 43.4765 34.5267 -43 34.4989 -43 49.8763 -43 45.8818 -43 -42 20.7471 73.4517 31.8478 34.0124 -43 33.7165 -43 44.0916 47.536 50.9763 -43 -42 -42 -42 40.815 32.8095 -43 32.8459 -43 -43 46.0512 51.6798 -43 -42 -42 -42 47.8247 34.6255 -43 34.3354 -43 -43 57.0272 52.5828 -43 -42 -42 20.1001 TotalSampleNumber: 96 ReplicateSampleNames: EF1_280C EF1_VibC1 EF1_VibVE4 Fas_280C Fas_VibC1 Fas_VibVE4 Fas_VibVE2 blank_blank EF1_380A EF1_VibC2 EF1_VibVE5 Fas_380A Fas_VibC2 Fas_VibVE5 Fas_VibVE3 EF1_750E EF1_VibC3 EF1_neg EF1_blank Fas_750E Fas_VibC3 EF1_2000A EF1_VibC4 Fas_2000A Fas_VibC4 EF1_VibC5 Fas_VibC5 Fas_neg EF1_VibVE1 Fas_VibVE1 EF1_VibVE2 EF1_VibVE3 Fas_blank AverageEfficiency_OfReplicateSamples 1.04815 0.776153 0.755285 Error! Error! 0.74864 Error! Error! 0.698039 0.746657 0.761817 0.976414 Error! Error! Error! 0.68488 0.734654 Error! Error! Error! Error! Error! 0.790952 Error! Error! 0.708735 Error! Error! 0.775056 Error! 0.746443 0.736873 Error! StdErr_OfReplicateSamplesEfficiency: 0.0481134 0.0225392 0.032788 Error! Error! 0 Error! Error! 0.0161488 0.00478278 0.0373759 0.00532271 Error! Error! Error! 0.0386142 0.0365404 Error! Error! Error! Error! Error! 0.00279173 Error! Error! 0.0168986 Error! Error! 0.0459297 Error! 0.0241133 0.00818588 Error! CoefficientVariation(CV%)_OfReplicateSamplesEfficiencies: 6.49167 4.10682 6.1393 Error! Error! 0 Error! Error! 3.27172 0.905887 6.93836 0.770929 Error! Error! Error! 7.97347 7.03404 Error! Error! Error! Error! Error! 0.499157 Error! Error! 3.37195 Error! Error! 8.38061 Error! 4.56852 1.57104 Error! AverageCT_OfReplicateSamples: 43.5181 36.1285 34.2496 3.43814 52.5269 -0.286133 46.3723 -15.2618 32.5345 32.7282 34.1386 44.2394 51.546 49.2282 54.7837 39.4019 32.3712 -43 -43 -43 45.6287 46.4248 33.3709 -43 50.8887 34.5128 4.33988 -43 33.8645 50.0594 32.8277 34.4805 -43 StdErr_OfReplicateSamplesCT: 0.0415432 0.277303 0.135946 46.4381 2.0646 42.7139 0.321011 9.63823 0.6867 0.109761 0.148479 0.147782 0.270936 2.50083 2.24349 1.4131 0.492451 0 0 0 0.253112 1.39995 0.120349 0 0.0876334 0.0139062 47.3399 0 0.147961 2.52342 0.0182199 0.145072 0 CV%_OfReplicateSamplesCTs: 0.135003 1.08547 0.561341 1910.15 5.55865 -21111.4 0.978987 -309.384 2.98495 0.474287 0.615084 0.472418 0.743338 7.1843 5.79145 5.0719 2.15139 0 0 0 0.784493 4.2646 0.510023 0 0.243536 0.0569826 1542.64 0 0.617899 7.12885 0.0784912 0.595011 0 GeneNames EF1 Fas blank AverageEfficiency_OfGenes: 0.766438 0.862527 Error! Stdev_OfGenesEfficiency: 0.0250146 0.113887 Error! MeanCV%_OfGenesEfficiencies -227.442 -7041.61 Error! MeanCV%_OfGenesCTs 1.20015 -1101.86 0 "Some problems are found! ------Please check your data and re-run Realtime PCR Miner (Version 2.0, Author: Dr. Sheng Zhao, Email: windupzs@gmail.com)." "Error#1: Sample#6, Exponential phase fit failed!" "Error#2: Sample#7, Exponential phase fit failed!" "Error#3: Sample#8, Exponential phase fit failed!" "Error#4: Sample#9, Exponential phase fit failed!" "Error#5: Sample#10, Exponential phase fit failed!" "Error#6: Sample#11, Exponential phase fit failed!" "Error#7: Sample#12, Exponential phase fit failed!" "Error#8: Sample#19, Exponential phase fit failed!" "Error#9: Sample#20, Exponential phase fit failed!" "Error#10: Sample#21, Exponential phase fit failed!" "Error#11: Sample#22, Exponential phase fit failed!" "Error#12: Sample#23, Exponential phase fit failed!" "Error#13: Sample#24, Exponential phase fit failed!" "Error#14: Sample#27, Exponential phase fit failed!" "Error#15: Sample#29, Exponential phase fit failed!" "Error#16: Sample#30, Exponential phase fit failed!" "Error#17: Sample#31, Exponential phase fit failed!" "Error#18: Sample#32, Exponential phase fit failed!" "Error#19: Sample#34, Exponential phase fit failed!" "Error#20: Sample#35, Exponential phase fit failed!" "Error#21: Sample#36, Exponential phase fit failed!" "Error#22: Sample#37, Exponential phase fit failed!" "Error#23: Sample#39, Exponential phase fit failed!" "Error#24: Sample#41, Exponential phase fit failed!" "Error#25: Sample#42, Exponential phase fit failed!" "Error#26: Sample#43, Exponential phase fit failed!" "Error#27: Sample#44, Exponential phase fit failed!" "Error#28: Sample#45, Exponential phase fit failed!" "Error#29: Sample#46, Exponential phase fit failed!" "Error#30: Sample#47, Exponential phase fit failed!" "Error#31: Sample#48, Exponential phase fit failed!" "Error#32: Sample#51, Exponential phase fit failed!" "Error#33: Sample#53, Exponential phase fit failed!" "Error#34: Sample#54, Exponential phase fit failed!" "Error#35: Sample#55, Exponential phase fit failed!" "Error#36: Sample#56, Exponential phase fit failed!" "Error#37: Sample#57, Exponential phase fit failed!" "Error#38: Sample#58, Exponential phase fit failed!" "Error#39: Sample#59, Exponential phase fit failed!" "Error#40: Sample#60, Exponential phase fit failed!" "Error#41: Sample#63, Exponential phase fit failed!" "Error#42: Sample#65, Exponential phase fit failed!" "Error#43: Sample#67, Exponential phase fit failed!" "Error#44: Sample#68, Exponential phase fit failed!" "Error#45: Sample#69, Exponential phase fit failed!" "Error#46: Sample#70, Exponential phase fit failed!" "Error#47: Sample#71, Exponential phase fit failed!" "Error#48: Sample#72, Exponential phase fit failed!" "Error#49: Sample#75, Exponential phase fit failed!" "Error#50: Sample#77, Exponential phase fit failed!" "Error#51: Sample#78, Exponential phase fit failed!" "Error#52: Sample#79, Exponential phase fit failed!" "Error#53: Sample#80, Exponential phase fit failed!" "Error#54: Sample#81, Exponential phase fit failed!" "Error#55: Sample#82, Exponential phase fit failed!" "Error#56: Sample#83, Exponential phase fit failed!" "Error#57: Sample#84, Exponential phase fit failed!" "Error#58: Sample#85, Exponential phase fit failed!" "Error#59: Sample#87, Exponential phase fit failed!" "Error#60: Sample#89, Exponential phase fit failed!" "Error#61: Sample#90, Exponential phase fit failed!" "Error#62: Sample#91, Exponential phase fit failed!" "Error#63: Sample#92, Exponential phase fit failed!" "Error#64: Sample#93, Exponential phase fit failed!" "Error#65: Sample#94, Exponential phase fit failed!" "Error#66: Sample#95, Exponential phase fit failed!" "Error#67: Sample#96, Exponential phase fit failed!"