NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM491388 Query DataSets for GSM491388
Status Public on Jun 08, 2010
Title Scerev_Sparad_F2_hybrid P6C10
Sample type genomic
 
Channel 1
Source name Scerev+Sparad_gDNA
Organism Saccharomyces cerevisiae
Characteristics reference: S.cerevisiae+S.paradoxus genomic DNA
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name P6C10 gDNA
Organism Saccharomyces cerevisiae
Characteristics genotype: F2
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Agilent
Description Image: http://smd.stanford.edu/MicroArray/gifs/2008-07/80514.gif
Data processing Agilent Feature Extraction
 
Submission date Dec 28, 2009
Last update date Jun 08, 2010
Contact name Gavin Sherlock
E-mail(s) sherlock@genome.stanford.edu
Phone 650 498 6012
Fax 650 724 3701
URL http://genetics.stanford.edu/~sherlock/
Organization name Stanford University
Department Genetics
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platform ID GPL9835
Series (1)
GSE19683 Speciation

Data table header descriptions
ID_REF ID_REF
AGILENT_RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the green channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
AGILENT_RAW.R_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the red channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
AGILENT_RAW.G_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
AGILENT_RAW.R_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
AGILENT_RAW.G_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the green channel.; Type: integer; Scale: linear_scale
AGILENT_RAW.R_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the red channel.; Type: integer; Scale: linear_scale
AGILENT_RAW.G_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
AGILENT_RAW.R_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
AGILENT_RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.BG_PIX_CORRELATION Ratio of estimated feature Background covariance in Red Green space to product of feature Standard Deviation in Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumulative quantitation of the tendency of pixels belonging to a particular feature's Background in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION Ratio of estimated background subtracted feature signal covariance in Red Green space to product of background subtracted feature Standard Deviation in Red Green space.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
AGILENT_COMPUTED.G_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw green mean signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the green channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: gBGSubSignal (gMeansignal - gBGUsed); Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
AGILENT_COMPUTED.R_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw red mean signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the red channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: rBGSubSignal (rMeansignal - rBGUsed); Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_IS_GOOD_PM Feature passes gIsWellAboveBG and additionally the gPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its gDelCtrlSignal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY gPerfMatchSignal fails positive and significance t-test (0.01) versus its gDelCtrlSignal; and deletion control passes gIsWellAboveBG; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_IS_GOOD_PM Feature passes rIsWellAboveBG and additionally the rPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its rDelCtrlSignal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY rPerfMatchSignal fails positive and significance t-test (0.01) versus its rDelCtrlSignal; and deletion control passes rIsWellAboveBG; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between green Mean signal and green background.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between red Mean signal and red background.; Type: float; Scale: linear_scale
VALUE log10(REDsignal/GREENsignal); Type: float; Scale: linear_scale
AGILENT_COMPUTED.LOG_RATIO_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.PIX_CORRELATION Ratio of estimated feature covariance in Red Green space to product of feature Standard Deviation ion Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumultive quantitation of the tendency of pixels belonging to a particular feature in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.ERROR_MODEL Indicates the error model that the user chose for feature extraction. Options: 0 (Propagated model chosen by user or by software) | 1 (Universal error model chosen by user of software).; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the green 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. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the red 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. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL 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. Option 1 (Feature is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL 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. Option 1 (Feature is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the green channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the red channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background 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. Option 1 (Feature's background is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background 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. Option 1 (Feature's background is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the green channel); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the red channel); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.IS_NORMALIZATION Boolean flag which indicates if a feaure is used to measure dye bias. Options: 1 (Feature used) | 0 (Feature not used).; Type: boolean; Scale: linear_scale

Data table
ID_REF AGILENT_RAW.G_MEAN_SIGNAL AGILENT_RAW.G_MEDIAN_SIGNAL AGILENT_RAW.R_MEAN_SIGNAL AGILENT_RAW.R_MEDIAN_SIGNAL AGILENT_RAW.G_MEAN_BG AGILENT_RAW.G_MEDIAN_BG AGILENT_RAW.R_MEAN_BG AGILENT_RAW.R_MEDIAN_BG AGILENT_RAW.G_NUM_PIX AGILENT_RAW.R_NUM_PIX AGILENT_RAW.G_PIX_SDEV AGILENT_RAW.R_PIX_SDEV AGILENT_RAW.G_BG_NUM_PIX AGILENT_RAW.R_BG_NUM_PIX AGILENT_RAW.G_BG_PIX_SDEV AGILENT_RAW.R_BG_PIX_SDEV AGILENT_RAW.TOP AGILENT_RAW.BOT AGILENT_RAW.LEFT AGILENT_RAW.RIGHT AGILENT_RAW.POSITION_X AGILENT_RAW.POSITION_Y AGILENT_COMPUTED.BG_PIX_CORRELATION AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION AGILENT_COMPUTED.G_BG_SD_USED AGILENT_COMPUTED.G_BG_SUB_SIGNAL AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR AGILENT_COMPUTED.G_BG_USED AGILENT_COMPUTED.R_BG_SD_USED AGILENT_COMPUTED.R_BG_SUB_SIGNAL AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR AGILENT_COMPUTED.R_BG_USED AGILENT_COMPUTED.G_DYE_NORM_SIGNAL AGILENT_COMPUTED.R_DYE_NORM_SIGNAL AGILENT_COMPUTED.G_IS_GOOD_PM AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY AGILENT_COMPUTED.R_IS_GOOD_PM AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY AGILENT_COMPUTED.G_NUM_SAT_PIX AGILENT_COMPUTED.R_NUM_SAT_PIX AGILENT_COMPUTED.G_PROCESSED_SIGNAL AGILENT_COMPUTED.R_PROCESSED_SIGNAL AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG VALUE AGILENT_COMPUTED.LOG_RATIO_ERROR AGILENT_COMPUTED.PIX_CORRELATION AGILENT_COMPUTED.P_VALUE_LOG_RATIO AGILENT_COMPUTED.DYE_NORM_CORRELATION AGILENT_COMPUTED.G_DYE_NORM_ERROR AGILENT_COMPUTED.R_DYE_NORM_ERROR AGILENT_COMPUTED.ERROR_MODEL AGILENT_COMPUTED.G_IS_FOUND AGILENT_COMPUTED.R_IS_FOUND AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.G_IS_FEAT_POPN_OL AGILENT_COMPUTED.R_IS_FEAT_POPN_OL AGILENT_COMPUTED.G_IS_SATURATED AGILENT_COMPUTED.R_IS_SATURATED AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.G_IS_BG_POPN_OL AGILENT_COMPUTED.R_IS_BG_POPN_OL AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF AGILENT_COMPUTED.IS_USED_BG_ADJUST AGILENT_COMPUTED.IS_NORMALIZATION
1 5768.914 5798 9199.143 9187 261.4396 259 126.4036 124 35 35 185.529 238.386 778 778 34.18983 27.91145 2606 2606 6699 6699 6699.95 2606.97 .0256999 0 34.1898 -2803.94 2775.52 8572.86 27.9115 -129.461 1216.26 9328.6 -564.274 -12.1483 null null null null 0 0 555.5229 113.5076 -2.05094340572141 -.106743822375525 0 .8895210969 .152171 0 0 558.555 114.131 1 1 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0
2 12834.53 12838 10168.53 10261.5 256.8614 254 137.1465 128 36 36 310.2338 425.8812 635 635 33.37299 45.80984 2607 2607 6725 6725 6725.15 2607.14 .151104 0 33.373 4335.32 2809.18 8499.2 45.8098 863.279 1219.32 9305.25 872.453 80.3312 null null null null 0 0 872.4531 112.5591 -4.24544909175565 -1.1832881930123 -.8893615349 .6748397673 .0992406 -.726901471686868 0 565.327 113.462 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0
3 12735.74 12743.5 10121.18 10207 259.1769 257 140.8768 128 34 34 245.2004 523.2469 633 633 35.45808 50.87918 2607 2607 6750 6750 6750.43 2607.65 .212767 0 35.4581 4309.72 2808.78 8426.01 50.8792 827.668 1219.08 9293.51 867.301 76.4287 null null null null 0 0 867.3015 111.6986 -4.20239803575322 -1.1109348422509 -.890122166 .6789556009 -.128693 -.721584566753302 0 565.248 112.572 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0
4 7882.639 7950 28048.5 27428.5 260.0343 255 147.2886 131 36 36 339.0088 2022.259 641 641 34.16608 60.2794 2607 2607 6776 6776 6776.09 2607.73 .187915 0 34.1661 -489.353 2775.52 8371.99 60.2794 18779.2 2237.39 9269.26 -98.4788 1720.94 null null null null 0 0 555.5229 1720.939 -.189187018030013 -157.206282934875 .491063497 .2507102926 .331138 -1.29973589891685 0 558.555 205.035 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0
5 12391.41 12491 30718.21 30396.5 258.9023 257 158.0093 133 34 34 414.5734 1955.132 645 645 33.92078 79.45257 2607 2607 6801 6801 6801.4 2607.91 .176239 0 33.9208 4073.03 2805.25 8318.38 79.4526 21462.1 2466.88 9256.12 819.669 1953.07 null null null null 0 0 819.6693 1953.074 -3.8145173416156 -179.872325159277 .3770799925 .2021244684 .27782 -1.20691044485871 0 564.537 224.489 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
6 11541.06 11636 42518.46 41588 262.7256 260 159.645 137 35 35 535.9362 3324.482 645 645 37.33486 78.02141 2608 2608 6826 6826 6826.83 2608.15 .211095 0 37.3349 3274.87 2794.78 8266.19 78.0214 33277.2 3543.02 9241.29 659.044 3008.48 null null null null 0 0 659.0443 3008.48 -2.64287354024336 -261.655073538693 .6594324755 .1816669742 .49624 -3.54739500285206 0 562.429 320.313 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
7 8115.917 8135 31600.56 31396 265.471 263 167.1224 137 36 36 239.6851 2390.371 637 637 37.25876 93.86306 2608 2608 6851 6851 6851.89 2608.51 .230427 0 37.2588 -102.516 2775.52 8218.43 93.8631 22375.1 2546.71 9225.48 -20.6307 2010.81 null null null null 0 0 555.5229 2010.81 -.0345471113330249 -187.194940456943 .5586689672 .2317254582 .423037 -1.79825280774446 0 558.555 228.869 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0
8 10535.14 10563 22840.37 23030 268.4618 267 164.663 135 35 35 267.6165 1548.218 641 641 36.20871 96.41018 2608 2608 6877 6877 6877.44 2608.6 .11755 0 36.2087 2358.39 2785.53 8176.75 96.4102 13628.1 1826.62 9212.31 474.609 1217.55 null null null null 0 0 555.5229 1217.551 -1.55879991226763 -108.767181707373 .3407853169 .3005364314 -.0440839 -.590359907301487 0 560.567 163.193 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0
9 9096.118 9089.5 11793.41 11684.5 268.1295 267 152.5101 136 34 34 343.3361 390.8153 641 641 36.3552 63.37542 2608 2608 6902 6902 6902.81 2608.91 .129825 0 36.3552 956.511 2777.17 8139.61 63.3754 2590.98 1243.55 9202.43 192.491 230.255 null null null null 0 0 555.5229 230.2549 -.430999674036874 -7.30541410347235 0 .6699373917 -.0498171 0 0 558.886 110.512 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0
10 7710 7702 23569.74 23052 268.4899 266 153.8558 138 35 35 377.2673 1720.329 645 645 36.43102 60.60794 2608 2608 6928 6928 6928.52 2608.75 .16313 0 36.431 -397.788 2775.52 8107.79 60.6079 14375.8 1883.06 9193.95 -80.052 1270.76 null null null null 0 0 555.5229 1270.762 -.148996797762902 -116.179056078614 .3593621107 .2928350282 .576119 -.658063421157749 0 558.555 166.455 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0
11 9147.378 9162 27637.41 27392 270.2492 266.5 151.4235 138 37 37 423.9091 1646.816 654 654 37.49704 54.22007 2608 2608 6953 6953 6953.71 2608.86 .155971 0 37.497 1068.28 2777.58 8079.1 54.2201 18450.8 2209.89 9186.64 214.983 1623.33 null null null null 0 0 555.5229 1623.326 -.498317828283096 -154.310052159179 .4657036844 .2581110098 .404129 -1.14759367847109 0 558.968 194.429 1 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0
12 16398 16411 62019.2 63138 274.3997 271 163.9194 141 35 35 592.8066 3319.06 633 633 37.71675 77.1535 2609 2609 6979 6979 6979.14 2609.44 .141422 0 37.7168 8344.3 2898.24 8053.7 77.1535 52837.9 5421.96 9181.33 1679.23 4629.59 null null null null 0 9 1679.232 4629.588 -13.4773732185958 -308 .4404316622 .1122954146 -.116208 -4.05656667792529 0 583.251 475.066 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0
13 7407.545 7465 20174.85 20067 276.3173 273 161.8452 143 33 33 365.8069 1089.454 646 646 36.65396 67.52539 2609 2609 7004 7004 7004.56 2609.53 .155341 0 36.654 -629.164 2775.52 8036.71 67.5254 10997.5 1639.74 9177.36 -126.615 959.622 null null null null 0 0 555.5229 959.6217 -.255018951156423 -81.948415328347 .2373980777 .3387320681 .172411 -.315692585064304 0 558.555 143.081 1 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0
14 11812.14 11815 47001.61 46221.5 287.2524 285 161.7633 146 36 36 435.3476 5063.085 638 638 38.06951 60.16705 2609 2609 7029 7029 7029.95 2609.74 .159493 0 38.0695 3794.09 2801.34 8018.05 60.1671 37828.6 3973.58 9172.98 763.534 3288.5 null null null null 0 0 763.5342 3288.504 -3.38106120547824 -287.077298929598 .634169831 .1660569826 .367077 -3.87289649317705 0 563.749 345.43 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0
15 11679.76 11660 28646.32 28655 291.2262 289 164.8492 148 37 37 370.7093 1629.513 650 650 36.55989 60.46993 2609 2609 7055 7055 7055.18 2609.75 .0743572 0 36.5599 3677.54 2799.78 8002.21 60.4699 19474.7 2296.07 9171.6 740.08 1686.94 null null null null 0 0 740.0797 1686.944 -3.207571186915 -163.250422903406 .3578221733 .2258003178 .165841 -.946774928096454 0 563.436 198.891 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0
16 12915.61 12897 17471.33 17606 296.1832 292 169 151 33 33 476.2024 688.6446 644 644 39.16318 68.06698 2610 2610 7080 7080 7080.5 2610.18 .178012 0 39.1632 4927.12 2818.92 7988.49 68.067 8299.7 1472.46 9171.63 991.548 716.735 null null null null 0 0 991.548 716.7354 -5.30000366858652 -54.171355568232 -.1409549069 .2981889085 .178576 -.196252898217228 0 567.287 127.157 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0
17 7879.949 7906 27964.08 27498 301.7606 301 176.1408 154 39 39 401.18 2088.409 639 639 38.08204 73.33354 2610 2610 7106 7106 7106.09 2610.72 .102948 0 38.082 -98.074 2775.52 7978.02 73.3335 18794.1 2238.63 9170.01 -19.7367 1618.47 null null null null 0 0 555.5229 1618.466 -.0329966371877534 -157.33639046506 .4644016315 .2581596745 .583221 -1.14245287284749 0 558.555 192.781 1 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0
18 14779.46 14761 14518.54 14426 311.115 310 179.3402 158 35 35 466.0137 608.7778 635 635 41.90926 73.48858 2610 2610 7131 7131 7131.55 2610.84 .186877 0 41.9093 6810.2 2857.85 7969.26 73.4886 5349.72 1328.72 9168.82 1370.5 459.42 null null null null 0 0 1370.504 459.4203 -9.38614127161186 -26.3147465574353 -.4746702334 .3054766014 .363941 -.920037757306133 0 575.123 114.107 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0
19 9444.688 9448.5 35252.53 34404.5 311.3529 309 181.6795 161 32 32 421.4799 3724.326 649 649 39.13293 76.557 2610 2610 7156 7156 7156.73 2610.42 .152374 0 39.1329 1477.06 2779.45 7967.63 76.557 26078.8 2877.55 9173.76 297.248 2233.3 null null null null 0 0 555.5229 2233.3 -.777039144443381 -215.013986928572 .6042450575 .2201291221 .486866 -2.21811001678749 0 559.345 246.424 1 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0
20 10880.03 10869.5 30751.25 30384.5 316.4736 315 188.4902 161 36 36 300.4396 2383.189 663 663 40.85283 87.00271 2610 2610 7182 7182 7182.25 2610.61 .0876925 0 40.8528 2921.79 2790.86 7958.24 87.0027 21574.6 2476.67 9176.68 587.989 1843.35 null null null null 0 0 587.9889 1843.354 -2.19213700728581 -180.78494435264 .4962396753 .2372492268 -.0928252 -1.43805423838253 0 561.641 211.61 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0

Total number of rows: 15744

Table truncated, full table size 6353 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap