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 |