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Agilentマイクロアレイのデータ

ID_REF Feature number
PositionX Found X coordinate of feature centroid in pixels
PositionY Found Y coordinate of feature centroid in pixels
VALUE 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. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid.
rIsFound A boolean used to flag found (strong) features.The flag is applied independently in each channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid.
gProcessedSignal Dye-normalized signal after surrogate algorithm, green channel, used for computation of log ratio
rProcessedSignal Dye-normalized signal after surrogate algorithm, red channel, used for computation of log ratio
gProcessedSigError Standard error of propagated feature signal, green channel
rProcessedSigError Standard error of propagated feature signal, red channel
gNumPixOLHi Number of outlier pixels per feature with intensity > upper threshold set via the pixel outlier rejection method. The number is computed independently in each channel. These pixels are omitted from all subsequent calculations.
rNumPixOLHi Number of outlier pixels per feature with intensity > upper threshold set via the pixel outlier rejection method. The number is computed independently in each channel. These pixels are omitted from all subsequent calculations.
gNumPixOLLo Number of outlier pixels per feature with intensity < lower threshold set via the pixel outlier rejection method. The number is computed independently in each channel. NOTE: The pixel outlier method is the ONLY step that removes data in Feature Extraction.
rNumPixOLLo Number of outlier pixels per feature with intensity < lower threshold set via the pixel outlier rejection method. The number is computed independently in each channel. NOTE: The pixel outlier method is the ONLY step that removes data in Feature Extraction.
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 Raw median signal of feature in green channel (inlier pixels)
rMedianSignal Raw median signal of feature in red 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
rIsSaturated Boolean flag indicating if a feature is saturated or not
PixCorrelation Ratio of estimated feature covariance in RedGreen space to product of feature Standard Deviation in Red Green space.
BGPixCorrelation Ratio of estimated background covariance in RedGreen space to product of background Standard Deviation in Red Green space.
gIsFeatNonUnifOL Boolean flag indicating if a feature is NonUniformity Outlier or not Green Channel
rIsFeatNonUnifOL Boolean flag indicating if a feature is NonUniformity Outlier or not Red Channel
gIsBGNonUnifOL Boolean flag indicating if background is NonUniformity Outlier or not Green Channel
rIsBGNonUnifOL Boolean flag indicating if background is NonUniformity Outlier or not Red Channel
gIsFeatPopnOL Boolean flag indicating if a feature is a Population Outlier or not for Green Channel. 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 for Red Channe. Probes with replicate features on a microarray are examined using population statistics
gIsBGPopnOL Boolean flag indicating if background is a Population Outlier or not for Green Channel.
rIsBGPopnOL Boolean flag indicating if background is a Population Outlier or not for Red Channel.
IsManualFlag Manual Flag
gBGSubSignal The net g signal following the subtraction of the background from the raw mean g signal
rBGSubSignal The net r signal following the subtraction of the background from the raw mean r signal
gBGSubSigError Propagated standard error as computed on net g background subtracted signal
rBGSubSigError Propagated standard error as computed on net r background subtracted signal
BGSubSigCorrelation Ratio of estimated background subtracted feature signal covariance in RG space to product of background subtracted feature Standard Deviation in RG space
gIsPosAndSignif Boolean flag indicating 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 indicating 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 Mean signal and g background (selected by user)
rPValFeatEqBG P-value from t-test of significance between r Mean signal and r background (selected by user)
gNumBGUsed Number of local background regions or features used to calculate the background subtraction on this feature g channel.
rNumBGUsed Number of local background regions or features used to calculate the background subtraction on this feature r channel.
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 A boolean used to flag features used for computation of global BG offset
gBGUsed Background value (after global background adjust if turned ON) subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed per channel. If global BG subtraction is used the column is identical for every feature in a given channel
rBGUsed Background value (after global background adjust if turned ON) subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed per channel. If global BG subtraction is used the column is identical for every feature in a given channel
gBGSDUsed Standard deviation of background used in g channel
rBGSDUsed Standard deviation of background used in r channel
IsNormalization A 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

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