NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM306614 Query DataSets for GSM306614
Status Public on Jul 23, 2008
Title GSY137
Sample type genomic
 
Channel 1
Source name Scer 350ng + Sbay 350ng sonicated genomic DNA
Organism Saccharomyces cerevisiae
Characteristics reference: Scer 350ng + Sbay 350ng sonicated genomic DNA
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name GSY137 genomic DNA, 350 ng, HaeIII cut
Organism Saccharomyces cerevisiae
Characteristics strain name: GSY137=DBVPG6284
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Feature Extraction; Software and parameters for feature extraction.; Protocol Type = Feature Extraction; Parameter Datafile type = Agilent result file; Software: type: feature extraction; Performer: Barbara,,Dunn
Description Simple annotation: Beer, DNA
Image: http://smd.stanford.edu/MicroArray/gifs/2006-10/70572.gif
Strain Name: GSY137=DBVPG6284
Data processing VALUE is log10(test/reference)
 
Submission date Jul 21, 2008
Last update date May 21, 2009
Contact name Barbara Dunn
E-mail(s) bdunn@stanford.edu
Phone 650-498-5995
Organization name Stanford University
Department Genetics
Street address -
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platform ID GPL7077
Series (1)
GSE12177 Saccharomyces pastorianus strains comparison

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 (test/reference)
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
1 119.6607 120.5 78.26786 78 54.60573 55 66.03584 65 56 56 9.246674 7.389159 279 279 4.43686 5.984886 121 121 45 45 45.3622 121.48 .0171962 0 4.43686 -1.81712 6.42003 121.478 5.98489 -.78105 5.28517 79.0489 -4.15271 -4.32674 null null null null 0 0 14.62671 29.18247 -.335024441461891 -.154241094606035 0 .6749052321 .0431331 0 0 14.6719 29.278 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 120.9444 120.5 77.92593 78 55.71918 55 66.71575 67 54 54 8.512846 7.952339 292 292 4.90983 6.219194 121 121 66 66 66.7934 121.554 .0588237 0 4.90983 -.271332 6.42003 121.216 6.21919 -1.06204 5.28517 78.988 -.61583 -5.77118 null null null null 0 0 14.52639 28.62611 -.0397323847026037 -.220609161956857 0 .6728993385 -.0401964 0 0 14.5713 28.7198 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 386.6111 391.5 130.7963 130.5 55.66667 55.5 66.96809 67 54 54 43.5502 13.71458 282 282 4.902126 6.463341 120 120 88 88 88.313 120.513 .133884 0 4.90213 265.708 27.3354 120.903 6.46334 51.8837 7.40622 78.9126 599.043 276.534 null null null null 0 0 599.0432 276.5335 -244.496980567743 -77.9453677970786 -.3357103512 .0761819563 -.000735348 -4.97896918032254 0 61.6281 39.4743 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4 501.6207 507.5 469.5 472.5 55.86219 56 66.29329 66 58 58 71.9517 49.75704 283 283 4.590163 5.878395 121 121 109 109 109.377 121.098 .0933663 0 4.59016 381.027 38.6398 120.593 5.87839 390.662 39.422 78.8384 853.326 2046.24 null null null null 0 0 853.3263 2046.243 -291.519681109823 -308 .3798420649 .07128920867 .558325 -7.00349153826582 0 86.5354 206.488 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 323.125 331.5 77.66071 77 55.50562 56 66.98876 67 56 56 33.01573 7.21936 267 267 4.441238 5.639871 121 121 130 130 130.635 121.435 .00292924 0 4.44124 202.882 21.2798 120.243 5.63987 -1.09148 5.28517 78.7522 451.371 -5.6201 null null null null 0 0 451.3707 27.12485 -209.854039510222 -.227910174521638 -1.221165976 .1571836073 .103008 -14.1019211310112 0 47.3431 27.2137 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
6 355.0351 356 261.8596 262 55.47703 55 66.76325 67 57 57 37.45138 26.10038 283 283 4.903538 5.877936 121 121 151 151 151.744 121.385 .105802 0 4.90354 235.134 24.3741 119.902 5.87794 183.192 19.0663 78.6679 519.779 927.72 null null null null 0 0 519.7792 927.7204 -228.721813637913 -226.226697836625 .2515982183 .0681953364 .157788 -3.64819401161228 0 53.8806 96.5558 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 374.339 384 210.2373 207 55.44118 55 67.06618 67 59 59 47.78566 25.24729 272 272 4.890332 6.605044 120 120 173 173 173.167 120.868 -.0046771 0 4.89033 254.721 26.2687 119.618 6.60504 131.637 14.1851 78.6004 559.525 655.689 null null null null 0 0 559.5254 655.6894 -239.03495924831 -183.359158953139 .06887833279 .06534031818 .0177244 -.534891798878386 0 57.7024 70.6564 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 450.75 451 477.75 485 55.72119 55 66.92565 67 56 56 51.58303 52.41521 269 269 5.271753 6.326476 121 121 194 194 194.478 121.548 .122555 0 5.27175 331.395 33.7556 119.355 6.32648 399.211 40.2694 78.5394 723.324 1958.69 null null null null 0 0 723.3241 1958.693 -273.242826490237 -308 .43263332 .07384739922 .377064 -8.33056210818721 0 73.6772 197.578 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 348.1724 354.5 3670.603 3661.5 55.24188 55 67.13718 68 58 58 51.09748 409.0858 277 277 4.825504 6.647105 120 120 215 215 215.658 120.579 .000543175 0 4.8255 229.068 23.7895 119.104 6.64711 3592.12 359.251 78.4818 497.015 17353.6 null null null null 0 0 497.0151 17353.61 -225.364722390916 -308 1.543020386 .1589390566 .582369 -21.5558533759954 0 51.6166 1735.55 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 517.4833 527.5 317.45 309 54.46403 54 66.48561 65 60 60 80.95081 39.71911 278 278 4.580267 6.743212 121 121 236 236 236.546 121.479 .104304 0 4.58027 398.619 40.3756 118.864 6.74321 239.022 24.4796 78.4277 859.667 1139.29 null null null null 0 0 859.6674 1139.289 -297.445344907002 -261.560834739223 .1223033479 .06367938695 .456462 -1.26137223147315 0 87.0746 116.681 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
11 180.4107 180.5 162.875 162 54.80969 55 65.7128 65 56 56 20.45107 20.92764 289 289 4.669096 6.00612 120 120 258 258 258.151 120.349 .0662674 0 4.6691 61.8177 8.91241 118.593 6.00612 84.5112 9.96767 78.3638 132.55 396.936 null null null null 0 0 132.5498 396.9359 -75.3147044258636 -129.209964081295 .4763411955 .09110533188 .165588 -6.76720306259411 0 19.11 46.8166 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 461.2034 462 980.7458 982 54.64552 55 66.12313 65 59 59 45.17544 110.8011 268 268 4.288878 5.979659 121 121 278 278 278.934 121.942 .00638157 0 4.28888 342.877 34.8836 118.326 5.97966 902.445 90.3991 78.3011 730.858 4189.23 null null null null 0 0 730.8575 4189.228 -277.696596567868 -308 .75830125 .09344595574 .367772 -15.3130707579222 0 74.3559 419.641 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
13 415.3725 411 183.9608 183 54.26642 54 66.12774 66 51 51 38.22876 24.16937 274 274 4.794514 6.478064 120 120 300 300 300.453 120.615 -.144746 0 4.79451 297.283 30.4136 118.089 6.47806 105.713 11.8189 78.2478 630.249 484.091 null null null null 0 0 630.2495 484.0906 -259.07518799602 -155.929415451372 -.1145858161 .06599700873 .22812 -1.08342175773306 0 64.4779 54.122 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
14 500.7818 510 729.9455 741 54.31655 54 66.69784 66 55 55 51.40244 72.8978 278 278 4.949618 5.854622 121 121 321 321 321.385 121.547 .00119472 0 4.94962 382.94 38.8285 117.841 5.85462 651.754 65.3894 78.191 807.333 2951.61 null null null null 0 0 807.3332 2951.612 -292.176844109255 -308 .5630064772 .08066860045 .471756 -11.5276002984127 0 81.86 296.13 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 619.2909 623 115.0182 114 54.60791 54 66.22662 66 55 55 72.93063 10.04525 278 278 5.06929 6.354942 120 120 342 342 342.504 120.863 .0803156 0 5.06929 501.666 50.5757 117.625 6.35494 36.8741 6.44438 78.1441 1052.22 165.035 null null null null 0 0 1052.218 165.0349 -308 -50.1246828677822 -.8045300241 .09968955183 .238537 -15.1543170175673 0 106.08 28.8427 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 509.2281 502 128.3333 129 55.66202 55 67.09756 67 57 57 55.04349 13.32068 287 287 4.964284 6.75528 121 121 363 363 363.456 121.976 .0459244 0 4.96428 391.804 39.7029 117.424 6.75528 50.2317 7.29145 78.1016 817.412 222.618 null null null null 0 0 817.4123 222.6184 -295.180543590196 -74.988615662068 -.5648801442 .08443988929 .151307 -10.6505646935436 0 82.8313 32.3145 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 487.5088 488 178.193 179 54.86282 54 67.02166 68 57 57 47.20855 19.94854 277 277 4.638679 6.659925 121 121 385 385 385.357 121.009 -.00506382 0 4.63868 370.282 37.5806 117.227 6.65993 100.133 11.3225 78.0599 768.71 438.816 null null null null 0 0 768.7101 438.8158 -287.767504505591 -149.321032990748 -.2434802717 .06824053064 .157353 -3.44399249669266 0 78.0179 49.619 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 275.5614 277 205.0702 203 55.94139 55 66.06227 66 57 57 33.4488 25.06624 273 273 4.924825 6.306492 121 121 406 406 406.176 121.496 .0584758 0 4.92483 158.532 17.1038 117.029 6.30649 127.053 13.7607 78.0176 327.52 551.75 null null null null 0 0 327.5204 551.75 -178.880051639969 -178.859055367996 .2265040062 .07012812921 .226245 -2.90710030013301 0 35.3358 59.7584 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 376.2982 379 204.8246 205 56.14773 56 66.72348 67 57 57 40.68607 22.40067 264 264 4.853457 5.87021 120 120 427 427 427.706 120.722 -.0408665 0 4.85346 259.53 26.7352 116.769 5.87021 126.867 13.7436 77.9574 533.75 545.589 null null null null 0 0 533.7499 545.5887 -241.452209301059 -178.674164275307 .009527568415 .06496519839 .105529 -.0538410527013151 0 54.9838 59.1039 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 416.9107 418.5 140.9643 137 56.34545 56 67.37818 68 56 56 45.61151 18.15285 275 275 4.929496 6.381048 121 121 448 448 448.849 121.921 .123576 0 4.9295 300.399 30.7183 116.512 6.38105 63.0659 8.22837 77.8984 614.856 269.169 null null null null 0 0 614.8555 269.1686 -260.432553665879 -97.0565133984162 -.3587486333 .07473851837 .0990324 -5.79962580527098 0 62.874 35.1191 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0

Total number of rows: 10807

Table truncated, full table size 4226 Kbytes.




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