NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM473988 Query DataSets for GSM473988
Status Public on Apr 09, 2010
Title JWY1_xylose_t24
Sample type RNA
 
Channel 1
Source name pooled reference (all 120 samples)
Organism Saccharomyces cerevisiae
Characteristics reference: pooled reference (all 120 samples)
Extracted molecule total RNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name JWY1_xylose_t24
Organism Saccharomyces cerevisiae
Characteristics elapsed time: 24h
genotype: xylose negative, XDH1 absent
media: 2% xylose in Minimal
Extracted molecule total RNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol not provided
Description Simple annotation: Carbon sources, Time course
Image: http://smd.stanford.edu/MicroArray/gifs/2008-04/79121.gif
Data processing Agilent Feature Extraction
 
Submission date Nov 20, 2009
Last update date Apr 09, 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 GPL9703
Series (2)
GSE19116 Xylose utilization timecourse
GSE19121 Xylose Utilization Gene in Saccharomyces cerevisiae

Data table header descriptions
ID_REF ID_REF
RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
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
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
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
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
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
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
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
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
RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
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
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
COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
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
COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
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
COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
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
COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
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
COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
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
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
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
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
COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
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
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 ratio (REDsignal/GREENsignal)
VALUE_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
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
COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
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 RAW.G_MEAN_SIGNAL RAW.G_MEDIAN_SIGNAL RAW.R_MEAN_SIGNAL RAW.R_MEDIAN_SIGNAL RAW.G_MEAN_BG RAW.G_MEDIAN_BG RAW.R_MEAN_BG RAW.R_MEDIAN_BG RAW.G_NUM_PIX RAW.R_NUM_PIX RAW.G_PIX_SDEV RAW.R_PIX_SDEV RAW.G_BG_NUM_PIX RAW.R_BG_NUM_PIX RAW.G_BG_PIX_SDEV RAW.R_BG_PIX_SDEV RAW.TOP RAW.BOT RAW.LEFT RAW.RIGHT RAW.POSITION_X RAW.POSITION_Y COMPUTED.BG_PIX_CORRELATION COMPUTED.BG_SUB_SIG_CORRELATION COMPUTED.G_BG_SD_USED COMPUTED.G_BG_SUB_SIGNAL COMPUTED.G_BG_SUB_SIG_ERROR COMPUTED.G_BG_USED COMPUTED.R_BG_SD_USED COMPUTED.R_BG_SUB_SIGNAL COMPUTED.R_BG_SUB_SIG_ERROR COMPUTED.R_BG_USED COMPUTED.G_DYE_NORM_SIGNAL COMPUTED.R_DYE_NORM_SIGNAL COMPUTED.G_IS_GOOD_PM COMPUTED.G_IS_LOW_SPECIFICITY COMPUTED.R_IS_GOOD_PM COMPUTED.R_IS_LOW_SPECIFICITY COMPUTED.G_NUM_SAT_PIX COMPUTED.R_NUM_SAT_PIX COMPUTED.G_PROCESSED_SIGNAL COMPUTED.R_PROCESSED_SIGNAL COMPUTED.G_PVAL_FEAT_EQ_BG COMPUTED.R_PVAL_FEAT_EQ_BG VALUE VALUE_ERROR COMPUTED.PIX_CORRELATION COMPUTED.P_VALUE_LOG_RATIO COMPUTED.DYE_NORM_CORRELATION COMPUTED.G_DYE_NORM_ERROR COMPUTED.R_DYE_NORM_ERROR COMPUTED.ERROR_MODEL COMPUTED.G_IS_FOUND COMPUTED.R_IS_FOUND COMPUTED.G_IS_FEAT_NON_UNIF_OL COMPUTED.R_IS_FEAT_NON_UNIF_OL COMPUTED.G_IS_FEAT_POPN_OL COMPUTED.R_IS_FEAT_POPN_OL COMPUTED.G_IS_SATURATED COMPUTED.R_IS_SATURATED COMPUTED.R_IS_WELL_ABOVE_BG COMPUTED.G_IS_WELL_ABOVE_BG COMPUTED.G_IS_BG_NON_UNIF_OL COMPUTED.R_IS_BG_NON_UNIF_OL COMPUTED.G_IS_BG_POPN_OL COMPUTED.R_IS_BG_POPN_OL COMPUTED.G_IS_POS_AND_SIGNIF COMPUTED.R_IS_POS_AND_SIGNIF COMPUTED.IS_USED_BG_ADJUST COMPUTED.IS_NORMALIZATION
1 260.6216 263 600.1622 589 48.34959 47 59.9489 59 37 37 29.01757 85.59287 861 861 8.06426 11.64543 162 162 9819 9819 9819.64 162.396 .0672623 0 8.06426 90.2631 12.5567 170.359 11.6454 480.196 48.3724 119.966 393.923 957.806 null null null null 0 0 393.9231 957.8056 -39.5230626355372 -103.175644382877 .3858659307 .07593043287 .177639 -6.42735364973747 0 54.7994 96.4844 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
2 172.75 172.5 125.9375 124.5 48.57572 48 60.98956 60 32 32 20.51278 22.27821 766 766 8.727472 11.65786 161 161 9844 9844 9844.5 161.681 .0612921 0 8.72747 2.04011 8.73139 170.71 11.6579 5.9402 5.86237 119.997 19.5799 23.4338 null null null null 0 0 19.57986 23.4338 -.263405918762663 -2.0038338870065 .07803320695 .6094651171 -.441989 -.0466652297011262 0 19.2665 23.1268 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0
3 155.2973 149 114.1892 115 48.18987 47 60.5481 60 37 37 31.63408 17.88053 790 790 8.357621 11.52369 161 161 9870 9870 9870.33 161.597 .000865714 0 8.35762 -15.7557 8.72901 171.053 11.5237 -5.87503 5.8322 120.064 19.5772 23.408 null null null null 0 0 19.57718 23.40803 -4.92564807872722 -1.96996324231602 0 .6079463814 -.15676 0 0 19.2586 23.0109 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
4 243.3514 245 329.973 336 49.14286 48 61.10857 60 37 37 41.14893 52.22945 700 700 9.615328 12.20191 162 162 9896 9896 9896.47 162.186 .155055 0 9.61533 71.9174 11.31 171.434 12.2019 209.823 21.7778 120.15 295.391 444.682 null null null null 0 0 295.3914 444.6819 -32.9689431535843 -77.0324506198142 .177651636 .07792472893 .427686 -1.64549904037821 0 46.4545 46.1541 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
5 357.5641 360 1062.231 1056 49.60851 49 61.69504 60 39 39 62.75256 238.1473 705 705 9.589586 13.23581 162 162 9921 9921 9921.19 162.361 .0486798 0 9.58959 185.722 20.5212 171.843 13.2358 941.979 94.3782 120.252 846.295 1799.46 null null null null 0 0 846.295 1799.458 -61.8267466980158 -124.518689256512 .3276199052 .06980868617 .564653 -5.57011609915217 0 93.511 180.29 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
6 342.4865 348 417.4865 418 48.33599 47 61.11288 60 37 37 65.13005 91.22397 753 753 8.599697 11.8911 162 162 9946 9946 9946.44 162.26 .0359228 0 8.5997 170.259 19.1332 172.227 11.8911 297.115 30.2785 120.371 747.479 589.111 null null null null 0 0 747.4794 589.1112 -59.0682691283231 -87.9956958263394 -.1034019163 .06741267069 .669033 -.902871308424523 0 83.9992 60.0354 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
7 683.975 684 872.575 855.5 48.10454 47 61.96561 62 40 40 151.6018 161.8085 727 727 8.215927 11.88293 162 162 9971 9971 9971.89 162.222 .036832 0 8.21593 511.413 51.8809 172.562 11.8829 752.068 75.4326 120.507 2344.71 1427.91 null null null null 0 0 2344.706 1427.91 -94.4826206546814 -117.384155117125 -.2153873798 .06522992016 .722842 -3.01769438287504 0 237.861 143.22 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
8 762.0769 761 1692.923 1644 49.53741 48 62.03537 61 39 39 93.69474 294.7076 735 735 9.39264 12.6179 162 162 9997 9997 9997.21 162.397 .126992 0 9.39264 589.181 59.5612 172.896 12.6179 1572.24 157.333 120.679 2681.88 3006.7 null null null null 0 0 2681.88 3006.697 -99.0806300342536 -140.755495274506 .04965034722 .06190778192 .643095 -.374121792926377 0 271.115 300.877 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 1
9 null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null
10 219.4054 216 302.2703 308 48.25066 47 60.63456 60 37 37 31.24941 42.5099 758 758 8.594211 11.86337 162 162 10048 10048 10048.4 162.093 .0510804 0 8.59421 45.7547 9.85548 173.651 11.8634 181.163 19.032 121.107 178.487 404.258 null null null null 0 0 178.4873 404.2579 -21.2581702964281 -72.4203764360949 .355051127 .09008925753 .298894 -4.09093913829268 0 38.4458 42.469 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
11 201.5833 200 260.8889 242 48.91979 48 61.13636 60 36 36 29.2803 50.76657 748 748 8.69775 12.32829 162 162 10073 10073 10073.5 162.316 .110552 0 8.69775 27.532 9.15291 174.051 12.3283 139.533 15.1231 121.356 99.5173 336.027 null null null null 0 0 99.51735 336.0268 -11.3050746817305 -64.2608566243639 .5284751141 .1099439309 .212381 -5.81420634419205 0 33.0842 36.4199 1 1 1 0 0 0 0 0 0 1 0 0 0 1 0 1 1 0 0
12 1088.412 1089 2164.735 2184.5 49.37228 49 61.94837 61 34 34 98.39719 351.5459 736 736 8.567935 12.54152 162 162 10099 10099 10099.1 162.185 .149623 0 8.56794 913.959 91.8118 174.453 12.5415 2043.11 204.394 121.627 4189.88 3879.51 null null null null 0 0 4189.877 3879.51 -113.358610178568 -149.059869172407 -.03342434103 .06165661862 .635658 -.230810020810133 0 420.894 388.109 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 1
13 325.1282 318 661.7692 625 49.28898 49 61.95968 61 39 39 46.39883 134.3606 744 744 8.523491 12.41015 162 162 10124 10124 10124.6 162 .111571 0 8.52349 150.275 17.3788 174.853 12.4102 539.853 54.2995 121.916 670.477 1053.27 null null null null 0 0 670.4767 1053.271 -55.1302169589895 -106.883047082621 .1961566091 .06727416619 .476779 -2.45001448078859 0 77.5382 105.94 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
14 167.0571 165 160.7143 154 49.22524 48 61.68657 60 35 35 24.24379 32.90769 737 737 8.742435 12.52794 162 162 10149 10149 10149.6 162.37 .120221 0 8.74244 -8.12799 8.72901 175.185 12.5279 38.5063 6.9887 122.208 24.1654 123.08 null null null null 0 0 24.1654 123.0804 -1.74720520235185 -26.6127864190647 .7069947875 .2331576812 -.13594 -2.61487698031694 0 23.7721 22.3385 1 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0
15 306.641 311 773.2051 762 49.02965 48 63.33827 62 39 39 40.42764 120.283 742 742 9.019797 13.46681 162 162 10175 10175 10175.2 162.139 .175302 0 9.0198 131.17 15.756 175.471 13.4668 650.686 65.3295 122.519 586.188 1267.45 null null null null 0 0 586.1883 1267.447 -50.8814971883629 -112.796912693528 .3348925493 .07149252931 .321665 -5.55142274902741 0 70.4123 127.253 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
16 1128.692 1102 2380.231 2388 50.24557 49 62.93588 62 39 39 120.4079 387.2363 733 733 9.979884 13.3751 162 162 10200 10200 10200.5 162.147 .196354 0 9.97988 952.94 95.693 175.752 13.3751 2257.43 225.818 122.8 4379.51 4275.77 null null null null 0 0 4379.514 4275.771 -114.717745051705 -152.222203568347 -.01041147176 .06156764892 .514232 -.0626260103731569 0 439.785 427.72 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
17 419.8947 416.5 452.2368 458 49.17116 48 61.63881 61 38 38 58.88091 70.78877 742 742 8.849717 12.18798 162 162 10225 10225 10225.7 162.351 -.010937 0 8.84972 243.915 25.9063 175.98 12.188 329.097 33.4225 123.14 1087.89 642.297 null null null null 0 0 1087.89 642.2975 -70.5424844572719 -91.2247909046327 -.2288489496 .06814574869 .393937 -3.10544068000626 0 115.546 65.2306 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
18 182.4595 181 190.2432 192 47.99362 47 60.59439 59 37 37 23.30307 26.30421 784 784 8.216807 12.65714 161 161 10251 10251 10251.3 161.808 .0986206 0 8.21681 6.1521 8.75066 176.307 12.6571 66.8144 8.86883 123.429 25.7348 200.539 null null null null 0 0 25.73484 200.5395 -1.14963440112913 -41.8594573907593 .8916784958 .1876079731 .52449 -5.69780391037269 0 25.3788 26.6193 1 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0
19 468.6 475 1512.743 1515 47.85578 47 61.28163 60 35 35 47.19559 210.1315 735 735 7.937315 12.32201 162 162 10276 10276 10276.5 162.289 .0573056 0 7.93732 291.851 30.4625 176.749 12.322 1388.95 139.017 123.797 1337.52 2638.2 null null null null 0 0 1337.515 2638.202 -76.3187080978902 -136.826216623003 .2950093494 .06774520151 .44648 -4.87531525866888 0 139.606 264.053 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0
20 240.7838 243 233.027 226 48.73844 48 61.45443 60 37 37 24.46441 36.14899 757 757 8.664088 12.26901 161 161 10302 10302 10302.2 161.865 .0705549 0 8.66409 63.7222 10.8074 177.062 12.269 108.821 12.3465 124.206 244.518 246.862 null null null null 0 0 244.5182 246.8615 -29.6348715800381 -56.5650640168383 .004142269115 .08845900975 .148827 -.016531080366183 0 41.4709 28.008 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 0 1

Total number of rows: 15744

Table truncated, full table size 6216 Kbytes.




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