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Sample GSM47056 Query DataSets for GSM47056
Status Public on Apr 21, 2005
Title D-1-2
Sample type RNA
 
Channel 1
Source name cy3 Liver5
Organism Mus musculus
Extracted molecule total RNA
 
Channel 2
Source name cy5 Pool
Organism Mus musculus
Extracted molecule total RNA
 
 
Description Each laboratory was provided with aliquots of two different RNA samples that were prepared in one of the Consortium laboratories - a sample prepared from mouse livers (Liver RNA), and a sample prepared from equal amounts of RNA isolated from five mouse tissues (liver, kidney, lung, brain and spleen: Pooled RNA).
 
Submission date Apr 01, 2005
Last update date May 27, 2005
Contact name Kenneth Lyon Phillips
E-mail(s) kphillips@icoria.com
Phone 919 425 3075
Organization name Paradigm Array Labs
Street address
City Research Triangle Park
State/province NC
ZIP/Postal code 27709
Country USA
 
Platform ID GPL891
Series (1)
GSE2458 Cross-platform comparability of microarray data

Data table header descriptions
ID_REF
PositionX Found coordinates of the feature centroid in pixels
PositionY Found coordinates of the feature centroid in pixels
VALUE (base 10) log(REDsignal/GREENsignal) per feature (processed signals used)
LogRatioError Error of the log ratio calculated according to the error model chosen
PValueLogRatio Significance level of the Log Ratio computed for a feature
gSurrogateUsed The green surrogate value used
rSurrogateUsed The red surrogate value used
gIsFound A boolean used to flag found (strong) features. The flag is applied independently in each channel
rIsFound A boolean used to flag found (strong) features. The flag is applied independently in each channel
gProcessedSignal Dye-normalized signal after surrogate algorithm, per channel, used for computation of log ratio
rProcessedSignal Dye-normalized signal after surrogate algorithm, per channel, used for computation of log ratio
gProcessedSigError Standard error of propagated feature signal, per channel
rProcessedSigError Standard error of propagated feature signal, per channel
gNumPixOLHi Number of outlier pixels per feature with intensity > upper threshold set via the pixel outlier rejection method
rNumPixOLHi Number of outlier pixels per feature with intensity > upper threshold set via the pixel outlier rejection method
gNumPixOLLo Number of outlier pixels per feature with intensity < lower threshold set via the pixel outlier rejection method
rNumPixOLLo Number of outlier pixels per feature with intensity < lower threshold set via the pixel outlier rejection method
gNumPix Total number of pixels used to compute feature statistics; ie. total number of inlier pixels/per spot; same in both channels
rNumPix Total number of pixels used to compute feature statistics; ie. total number of inlier pixels/per spot; same in both channels
gMeanSignal Raw mean signal of feature in green channel (inlier pixels)
rMeanSignal Raw mean signal of feature in red channel (inlier pixels)
gMedianSignal Median local background signal (local to corresponding feature) computed per channel (inlier pixels)
rMedianSignal Median local background signal (local to corresponding feature) computed per channel (inlier pixels)
gPixSDev Standard deviation of all inlier pixels per feature; this is computed independently in each channel
rPixSDev Standard deviation of all inlier pixels per feature; this is computed independently in each channel
gBGNumPix Total number of pixels used to compute local BG statistics per spot; ie. total number of BG inlier pixels; same in both channels
rBGNumPix Total number of pixels used to compute local BG statistics per spot; ie. total number of BG inlier pixels; same in both channels
gBGMeanSignal Mean local background signal (local to corresponding feature) computed per channel (inlier pixels)
rBGMeanSignal Mean local background signal (local to corresponding feature) computed per channel (inlier pixels)
gBGMedianSignal Median local background signal (local to corresponding feature) computed per channel (inlier pixels)
rBGMedianSignal Median local background signal (local to corresponding feature) computed per channel (inlier pixels)
gBGPixSDev Standard deviation of all inlier pixels per local BG of each feature, computed independently in each channel
rBGPixSDev Standard deviation of all inlier pixels per local BG of each feature, computed independently in each channel
gNumSatPix Total number of saturated pixels per feature, computed per channel
rNumSatPix Total number of saturated pixels per feature, computed per channel
gIsSaturated Boolean flag indicating if a feature is saturated or not. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold
rIsSaturated Boolean flag indicating if a feature is saturated or not. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold
PixCorrelation Ratio of estimated feature covariance in RedGreen space to product of feature Standard Deviation in Red Green space
BGPixCorrelation The same concept as above but in case of background
gIsFeatNonUnifOL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature
rIsFeatNonUnifOL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature
gIsBGNonUnifOL The same concept as above but in case of background
rIsBGNonUnifOL The same concept as above but in case of background
gIsFeatPopnOL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics
rIsFeatPopnOL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics
gIsBGPopnOL The same concept as above but in case of background
rIsBGPopnOL The same concept as above but in case of background
IsManualFlag Boolean is manual flag
gBGSubSignal Background-subtracted signal
rBGSubSignal Background-subtracted signal
gBGSubSigError Propagated standard error as computed on net g(r) background subtracted signal
rBGSubSigError Propagated standard error as computed on net g(r) background subtracted signal
BGSubSigCorrelation Ratio of estimated background-subtracted feature signal co-variance in RG space to product of background-subtracted feature Standard Deviation in RG space
gIsPosAndSignif Boolean flag, established via a 2-sided t-test, indicates if the mean signal of a feature is greater than the corresponding background (selected by user) and if this difference is significant
rIsPosAndSignif Boolean flag, established via a 2-sided t-test, indicates if the mean signal of a feature is greater than the corresponding background (selected by user) and if this difference is significant
gPValFeatEqBG P-value from t-test of significance between g(r) Mean signal and g(r) background (selected by user)
rPValFeatEqBG P-value from t-test of significance between g(r) Mean signal and g(r) background (selected by user)
gNumBGUsed Background used to subtract from the MeanSignal; variable also used in t-test
rNumBGUsed Background used to subtract from the MeanSignal; variable also used in t-test
gIsWellAboveBG Boolean flag indicating if a feature is WellAbove Background or not
rIsWellAboveBG Boolean flag indicating if a feature is WellAbove Background or not
IsUsedBGAdjust Boolean used to flag features used for computation of global BG offset
gBGUsed Background used to subtract fromthe MeanSignal; variable also used in t-test
rBGUsed Background used to subtract fromthe MeanSignal; variable also used in t-test
gBGSDUsed Standard deviation of background used in g(r) channel; variable also used in t-test and surrogate algorithms
rBGSDUsed Standard deviation of background used in g(r) channel; variable also used in t-test and surrogate algorithms
IsNormalization Boolean flag which indicates if a feature is used to measure dye bias
gDyeNormSignal The dye-normalized signal in the indicated channel
rDyeNormSignal The dye-normalized signal in the indicated channel
gDyeNormError The standard error associated with the dye-normalized signal
rDyeNormError The standard error associated with the dye-normalized signal
DyeNormCorrelation Dye-normalized red and green pixel correlation
ErrorModel Indicates the error model that you chose for feature extraction or that the software uses if you have chosen the "most conservative" option

Data table
ID_REF PositionX PositionY VALUE LogRatioError PValueLogRatio gSurrogateUsed rSurrogateUsed gIsFound rIsFound gProcessedSignal rProcessedSignal gProcessedSigError rProcessedSigError gNumPixOLHi rNumPixOLHi gNumPixOLLo rNumPixOLLo gNumPix rNumPix gMeanSignal rMeanSignal gMedianSignal rMedianSignal gPixSDev rPixSDev gBGNumPix rBGNumPix gBGMeanSignal rBGMeanSignal gBGMedianSignal rBGMedianSignal gBGPixSDev rBGPixSDev gNumSatPix rNumSatPix gIsSaturated rIsSaturated PixCorrelation BGPixCorrelation gIsFeatNonUnifOL rIsFeatNonUnifOL gIsBGNonUnifOL rIsBGNonUnifOL gIsFeatPopnOL rIsFeatPopnOL gIsBGPopnOL rIsBGPopnOL IsManualFlag gBGSubSignal rBGSubSignal gBGSubSigError rBGSubSigError BGSubSigCorrelation gIsPosAndSignif rIsPosAndSignif gPValFeatEqBG rPValFeatEqBG gNumBGUsed rNumBGUsed gIsWellAboveBG rIsWellAboveBG IsUsedBGAdjust gBGUsed rBGUsed gBGSDUsed rBGSDUsed IsNormalization gDyeNormSignal rDyeNormSignal gDyeNormError rDyeNormError DyeNormCorrelation ErrorModel
1 34.1563 26.9405 -0.16018 0.052436 0.00225235 0 0 1 1 1303.86 901.674 16.4554 9.33806 2 1 1 0 59 59 617.22 676.051 617 676 22.9129 28.4408 277 277 287.942 302.921 288 302 4.80001 5.70286 0 0 0 0 0.277628 -0.000118154 0 0 0 0 0 0 0 0 0 237.463 359.054 2.99692 3.71849 0.275163 1 1 1.0707e-061 1.1896e-066 1 1 1 1 0 379.758 316.997 4.80001 5.70286 0 1303.86 901.674 16.4554 9.33806 0.275163 1
2 55.2299 27.1246 0 0.129645 1 29.8614 14.23 1 1 29.8614 14.23 7.604 2.28764 0 1 2 1 59 59 367.407 316.203 368 316 9.8875 6.77414 273 273 288.78 302.846 288 302 5.20422 5.92153 0 0 0 0 0.0213959 -0.000211608 0 0 0 0 0 0 0 0 0 -13.189 -0.718946 1.32522 0.951956 0.0192348 0 0 1.05903e-014 0.452377 1 1 0 0 0 380.596 316.922 5.20422 5.92153 0 -75.6772 -1.72769 7.604 2.28764 0.0192348 0
3 76.9181 26.5529 -0.164665 0.0515906 0.00141412 0 0 1 1 1821.86 1246.95 21.6838 14.9192 0 0 0 0 60 60 718.117 804.25 717 807 31.0926 45.0384 277 277 288.058 303.083 288 303 5.11501 6.57319 0 0 0 0 0.518634 0.000117361 0 0 0 0 0 0 0 0 0 338.243 487.091 4.02578 5.82784 0.515932 1 1 1.09062e-063 1.96959e-063 1 1 1 1 0 379.873 317.159 5.11501 6.57319 0 1821.86 1246.95 21.6838 14.9192 0.515932 1
4 97.8405 26.1595 0.0972374 0.0567785 0.0867911 0 0 1 1 497.232 622.008 10.7891 9.24583 1 0 0 0 61 61 469.016 569.033 468 569 14.8879 29.1181 282 282 288.262 302.759 288 302 5.05366 6.58954 0 0 0 0 -0.0113813 -0.000256988 0 0 0 0 0 0 0 0 0 88.9385 252.198 1.92981 3.74879 -0.0111845 1 1 2.94889e-050 3.49237e-059 1 1 1 1 0 380.078 316.835 5.05366 6.58954 0 497.232 622.008 10.7891 9.24583 -0.0111845 1
5 120.566 27.8493 0.0479513 0.0494223 0.331928 0 0 1 1 3623.12 4046.07 39.6958 34.8083 0 0 0 0 58 58 1096.67 1800.26 1101.5 1799.5 59.7352 97.1789 268 268 288.396 302.302 288 302 5.07696 6.1761 0 0 0 0 0.741677 -0.000257181 0 0 0 0 0 0 0 0 0 716.461 1483.88 7.84974 12.7658 0.740774 1 1 1.22154e-063 1.55251e-069 1 1 1 1 0 380.211 316.378 5.07696 6.1761 1 3623.12 4046.07 39.6958 34.8083 0.740774 1
6 140.088 26.5 -0.30997 0.054343 1.17055e-008 0 0 1 1 4390.26 2150.4 41.1828 25.2992 5 0 0 0 55 55 1235.95 1116.35 1239 1108 59.4398 69.8045 283 283 289.011 301.59 288 301 5.46458 6.29884 0 0 0 0 0.577117 0.000300416 0 0 0 0 0 0 0 0 0 855.119 800.679 8.02144 9.41989 0.576189 1 1 1.21702e-064 2.446e-059 1 1 1 1 0 380.826 315.666 5.46458 6.29884 0 4390.26 2150.4 41.1828 25.2992 0.576189 1
7 161.139 26.8475 -0.404506 0.0642753 3.10709e-010 0 0 1 1 815.677 321.375 14.4286 6.41859 1 0 0 0 61 61 526.623 445.82 530 443 19.9701 20.1523 276 276 289.033 301.33 288 301.5 5.5487 5.91116 0 0 0 0 0.144734 -0.000104427 0 0 0 0 1 0 0 0 0 145.775 130.414 2.57863 2.60466 0.142168 1 1 4.28177e-055 4.91778e-052 1 1 1 1 0 380.848 315.406 5.5487 5.91116 0 815.677 321.375 14.4286 6.41859 0.142168 1
8 182.367 26.0595 0.504271 0.0766466 4.73069e-011 0 0 1 1 177.919 568.192 7.73414 8.86662 0 1 1 0 59 59 411.814 546.576 413 546 10.3232 27.5576 285 285 288.284 301.323 288 302 5.18393 6.37621 0 0 0 0 -0.116586 0.000173005 0 0 0 0 0 0 0 0 0 31.7138 231.177 1.3786 3.60752 -0.113028 1 1 1.05765e-032 1.86129e-056 1 1 1 1 0 380.1 315.399 5.18393 6.37621 0 177.919 568.192 7.73414 8.86662 -0.113028 1
9 203.103 26.4023 0.341245 0.157263 0.030015 0 0 1 1 68.6032 150.518 9.48448 4.46512 0 1 0 0 58 58 392.569 377.897 391.5 378 12.6368 13.6429 281 281 288.587 302.267 288 302 4.61756 5.92844 0 0 0 0 0.149834 9.26749e-006 0 0 0 0 0 0 0 0 0 12.1663 61.5535 1.682 1.82598 0.145013 1 1 9.8564e-010 2.28606e-041 1 1 1 1 0 380.403 316.343 4.61756 5.92844 0 68.6032 150.518 9.48448 4.46512 0.145013 1
10 224.867 26.0622 0.0560592 0.0701444 0.424176 0 0 1 1 288.32 328.045 8.48931 6.84439 0 0 0 0 64 64 430.844 448.797 432.5 449.5 11.9153 22.1196 270 270 287.648 301.219 288 301 4.35744 5.53801 0 0 0 0 0.0651013 0.000385559 0 0 0 0 0 0 0 0 0 51.3801 133.502 1.51284 2.78541 0.0636306 1 1 5.70466e-044 2.25819e-052 1 1 1 1 0 379.464 315.295 4.35744 5.53801 1 288.32 328.045 8.48931 6.84439 0.0636306 1
11 245.959 26.7632 0.0317286 0.0500077 0.525771 0 0 1 1 1642.81 1767.32 17.817 19.7122 0 0 0 1 62 62 687.597 1000.61 686 999.5 26.148 60.1003 279 279 288.444 301.419 289 302 4.79841 6.14277 0 0 0 0 0.495456 0.000308812 0 0 0 0 0 0 0 0 0 307.337 685.117 3.33321 7.6416 0.493042 1 1 5.36521e-068 1.03132e-066 1 1 1 1 0 380.26 315.496 4.79841 6.14277 1 1642.81 1767.32 17.817 19.7122 0.493042 1
12 267.214 26.8194 0.144749 0.0628486 0.0212711 0 0 1 1 342.866 478.491 10.7115 8.32718 0 0 1 0 62 62 442.629 510.419 442 512.5 14.8647 26.4814 279 279 289.62 301.91 289 302 5.03717 6.22329 0 0 0 0 0.205134 0.00014539 0 0 0 0 0 0 0 0 0 61.1934 194.433 1.91175 3.38371 0.201336 1 1 3.70316e-041 8.11109e-056 1 1 1 1 0 381.436 315.987 5.03717 6.22329 0 342.866 478.491 10.7115 8.32718 0.201336 1
13 288.441 26.7972 -0.0342811 0.0494606 0.488248 0 0 1 1 3140.41 2902.05 24.6215 31.5581 0 0 2 0 56 56 991.875 1397.71 994.5 1404.5 35.7756 87.9979 275 275 289.124 301.778 289 302 4.91081 5.89862 0 0 0 0 0.644442 -5.3356e-005 0 0 0 0 0 0 0 0 0 610.936 1081.86 4.78988 11.7646 0.642915 1 1 4.0352e-070 5.3349e-062 1 1 1 1 0 380.939 315.854 4.91081 5.89862 1 3140.41 2902.05 24.6215 31.5581 0.642915 1
14 309.229 26.8949 -0.385205 0.0632419 1.12225e-009 0 0 1 1 825.019 339.828 11.1672 4.72202 4 0 1 1 57 57 528.579 453.754 528 456 14.8816 14.1715 272 272 289.268 301.824 289 301 5.22886 6.29987 0 0 0 0 -0.183817 5.76085e-005 0 0 0 0 1 0 0 0 0 147.495 137.855 1.99645 1.91553 -0.177837 1 1 8.57659e-060 1.73637e-060 1 1 1 1 0 381.084 315.9 5.22886 6.29987 0 825.019 339.828 11.1672 4.72202 -0.177837 1
15 330.172 26.2632 0.88246 0.0871247 4.12056e-024 0 0 1 1 158.999 1212.99 9.4435 18.5594 0 0 0 0 62 62 409.355 809.145 410 798.5 13.0511 59.2961 287 287 289.153 302.324 289 302 5.22476 6.12311 0 0 0 0 0.0729094 7.5181e-006 0 0 0 0 0 0 0 0 0 28.386 492.745 1.68594 7.53928 0.0715968 1 1 1.91712e-025 2.19471e-058 1 1 1 1 0 380.969 316.4 5.22476 6.12311 0 158.999 1212.99 9.4435 18.5594 0.0715968 1
16 351.9 26.0345 -0.220008 0.0595979 0.000222899 0 0 1 1 660.157 397.777 14.7678 7.75087 0 1 0 0 61 61 499.508 476.885 498 476 20.4814 24.3606 280 280 289.711 301.393 290 302 4.988 6.78201 0 0 0 0 0.436746 2.98261e-005 0 0 0 0 0 0 0 0 0 117.982 161.416 2.63926 3.14527 0.430334 1 1 1.22273e-048 1.57659e-052 1 1 1 1 0 381.526 315.469 4.988 6.78201 0 660.157 397.777 14.7678 7.75087 0.430334 1
17 372.967 26.7814 -0.0280362 0.0492397 0.569096 0 0 1 1 6408.46 6007.83 50.484 42.7077 0 0 2 1 61 61 1673.77 2477.2 1663 2472 79.4706 119.924 274 274 289.748 302.318 290 302 4.98041 6.97336 0 0 0 0 0.714421 0.00080485 0 0 0 0 0 0 0 0 0 1292.21 2160.8 10.1796 15.3604 0.713841 1 1 9.69859e-075 2.13553e-077 1 1 1 1 0 381.564 316.394 4.98041 6.97336 1 6408.46 6007.83 50.484 42.7077 0.713841 1
18 394.21 26.0979 -0.00889849 0.0533974 0.867648 0 0 1 1 742.378 727.322 12.52 9.71156 0 2 1 0 60 60 515 609.483 516.5 605 17.2656 30.2529 281 281 289.851 301.719 290 302 4.97268 5.90242 0 0 0 0 0.293175 0.000452163 0 0 0 0 0 0 0 0 0 133.334 293.688 2.24864 3.92147 0.289444 1 1 1.0259e-055 6.05801e-061 1 1 1 1 0 381.666 315.795 4.97268 5.90242 1 742.378 727.322 12.52 9.71156 0.289444 1
19 415.372 26.8562 0.281373 0.053355 1.33768e-007 0 0 1 1 3736.13 7141.59 47.8571 91.2026 0 0 0 0 60 60 1131.57 2896.4 1132 2860.5 74.3852 255.201 272 272 289.743 302.283 290 302 4.55308 6.66355 0 0 0 0 0.824013 0.000220808 0 0 0 0 0 0 0 0 0 750.008 2580.04 9.60706 32.9487 0.823611 1 1 2.50924e-061 2.43485e-061 1 1 1 1 0 381.558 316.359 4.55308 6.66355 0 3736.13 7141.59 47.8571 91.2026 0.823611 1
20 436.687 26.1866 0.0784631 0.0496959 0.114367 0 0 1 1 2946.55 3530.02 31.6406 32.1377 0 0 0 1 59 59 957.441 1626.14 959 1631 47.4477 91.556 275 275 289.778 302.095 290 302 4.65741 6.52719 0 0 0 0 0.406175 -0.000228424 0 0 0 0 0 0 0 0 0 575.847 1309.96 6.18355 11.9261 0.405534 1 1 4.55909e-065 4.11404e-069 1 1 1 1 0 381.594 316.171 4.65741 6.52719 1 2946.55 3530.02 31.6406 32.1377 0.405534 1

Total number of rows: 22493

Table truncated, full table size 8729 Kbytes.




Supplementary data files not provided

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