NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM616060 Query DataSets for GSM616060
Status Public on Nov 02, 2011
Title E2_acetate_a
Sample type RNA
 
Channel 1
Source name pooled reference
Organism Saccharomyces cerevisiae
Characteristics reference: pool of 6 parental strains
Extracted molecule total RNA
Extraction protocol not provided
Label Cy3
Label protocol LRILAK labeling
 
Channel 2
Source name E2_acetate_a
Organism Saccharomyces cerevisiae
Characteristics strain name: E2
media: aerobic
Growth protocol Wenger 2010 chemostat; Strains for chemostat cell cultures were grown 1% YPD cultures and 1mL aliquots were frozen in 15% glycerol at -80 oC. The entire contents of a single1mL frozen aliquot of evolved (E1-E5) or ancestral (CP1AB or simply P) isolates were used to inoculate an individual chemostat (ATR SixFors fermentation apparatus, ATR Biotechnologies) with working volume set to 400mL of minimal (SC) media defined by [1]. Batch cultures were then grown for 24 hours to achieve saturation. After saturation was achieved, chemostat pumps were turned on to the desired dilution rate and 2-3 vessel volumes of turnover were allowed so cultures could reach steady state. The dilution rate was set to 0.17hr-1 for aerobic (0.08% glucose) and anaerobic glucose limitation (0.08% glucose + 420mg mL-1 Tween 80 + 10mg L-1 ergosterol) and 0.05hr-1 for aerobic acetate limitation (10.9g/L sodium acetate). Aerobic conditions were achieved by sparging with 25 L h-1 of sterile air and anaerobic conditions by sparging cultures with 25 L hr-1 sterile-filtered, humidified N2 (g).
Extracted molecule total RNA
Extraction protocol To isolate total RNA, 100mL of sample was quickly filtered through 0.45 mm Nylon filters (Whatman) and flash frozen in liquid nitrogen. RNA for gene-expression measurements was isolated using the hot acid-phenol method described by [2].1. Adams J, Hansche PE (1974) Population studies in microorganisms. I.Evolution of diploidy in Saccharomyces cerevisiae. Genetics 76: 327-338.2. Ferea TL, Botstein D, Brown PO, Rosenzweig RF (1999) Systematicchanges in gene expression patterns following adaptive evolution in yeast.Proceedings of the National Academy of Sciences 96: 9721-9726
Label Cy5
Label protocol LRILAK labeling
 
 
Hybridization protocol not provided
Scan protocol Agilent Feature Extraction
Description Image: http://smd.stanford.edu/MicroArray/gifs/2010-06/88655.gif
Data processing Agilent Feature Extraction software
 
Submission date Nov 02, 2010
Last update date Nov 02, 2011
Contact name Jared Wenger
E-mail(s) jwenger@stanford.edu
Phone 650 498 5995
Fax 650-724-3701
Organization name Stanford University Medical School
Lab S225, Grant Building
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platform ID GPL9825
Series (1)
GSE25081 Genomic Characterization of Adaptive Mutations that Effect Minimal Fitness Trade-offs in Evolved Clones of 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 (REDsignal/GREENsignal)
COMPUTED.LOG_RATIO_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 COMPUTED.LOG_RATIO_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 1326.385 1302 2155.949 2147 51.0105 50 69.25904 67 39 39 179.457 247.8923 857 857 9.269518 16.46465 148 158 6706 6716 6711.06 153.814 .0829033 0 9.26952 1216.69 121.908 109.691 16.4646 1960.97 196.693 194.981 801.391 588.136 null null null null 0 0 801.3915 588.1358 -124.125042400596 -117.171070847048 -.1343671021 .06277914742 .0114357 -1.49040264002132 0 80.2965 58.9925 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
2 102.5833 105 197.7778 198 51.56897 51 69.21088 68 36 36 15.06818 38.51613 754 754 9.720866 16.77844 149 159 6731 6741 6736.62 154.123 .0738797 0 9.72087 -7.06813 7.62723 109.651 16.7784 2.69568 15.3121 195.082 4.83799 4.93404 null null null null 0 0 4.837986 4.934036 -1.73280949170111 -.188119486974649 0 .6038612657 -.130229 0 0 4.75591 4.85108 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 107.5128 106 202.641 209 50.93342 51 68.63587 68 39 39 19.69086 32.80684 736 736 9.739305 16.54622 149 159 6757 6767 6762.26 154.222 .176734 0 9.73931 -2.08711 7.62723 109.6 16.5462 7.56379 15.3284 195.077 4.83799 4.93404 null null null null 0 0 4.837986 4.934036 -.3196046505494 -.692471872547083 0 .6041891327 .0196017 0 0 4.75591 4.85624 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 3181.775 3143 7989.625 7834 55.82982 52 70.14587 68 40 40 434.6021 1368.46 617 617 18.23116 23.06551 149 159 6782 6792 6787.16 154.716 .307072 0 18.2312 3072.21 307.316 109.562 23.0655 7794.61 779.611 195.014 2007.45 2356.52 null null null null 0 0 2007.453 2356.52 -153.485169450367 -160.9120873202 .06962592026 .06176150027 .592723 -.585694067208219 0 200.807 235.697 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 6830.41 6609 8910.641 8683 64.15409 53 71.54088 68 39 39 938.7133 1235.123 636 636 37.42976 22.26519 149 159 6807 6817 6812.15 154.689 .36326 0 37.4298 6720.87 672.13 109.539 22.2652 8715.66 871.7 194.982 4363 2652.23 null null null null 0 0 4362.996 2652.234 -178.302467280336 -164.452881537932 -.2161730137 .06452403031 .541518 -3.09295206142885 0 436.328 265.264 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 22126.44 21661 51244.41 50932 53.42121 51 70.64654 70 39 39 1971.832 5940.09 679 679 13.61478 17.06093 149 159 6832 6842 6837.91 154.896 .275904 0 13.6148 22016.9 2201.7 109.531 17.0609 51049.4 5104.96 194.99 13340.9 16643 null null null null 0 0 13340.92 16643.01 -215.921409071639 -220.49378594765 .09604598095 .06204179398 .836379 -.915059951766557 0 1334.1 1664.31 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
7 18168.16 17884 42176.19 42053 53.64254 52 70.89956 69 37 37 1558.027 3986.653 677 677 12.36701 17.59283 149 159 6858 6868 6863.59 154.746 .241951 0 12.367 18058.6 1805.88 109.54 17.5928 41981.1 4198.14 195.055 11177.7 13398.5 null null null null 0 0 11177.71 13398.51 -209.638189089506 -214.293417902555 .07870370836 .06183791552 .923444 -.692269473435213 0 1117.78 1339.86 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
8 24864.24 24412 36214.57 35112 58.76719 53 72.64375 70 37 37 3264.929 4866.17 640 640 23.16128 19.43163 149 159 6883 6893 6888.93 154.986 .391207 0 23.1613 24754.7 2475.48 109.567 19.4316 36019.5 3601.98 195.099 15190.2 11595.8 null null null null 0 0 15190.21 11595.82 -219.637178365152 -209.437695237228 -.1172620865 .06234543324 .947824 -1.22189932086912 0 1519.03 1159.59 1 1 1 0 0 0 0 0 0 1 1 0 0 0 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 3027.946 3083 4369.973 4365 52.17571 51 70.22429 68 37 37 361.7712 635.0926 700 700 10.74129 16.84567 150 160 6934 6944 6939.94 155.038 .166029 0 10.7413 2918.27 291.927 109.672 16.8457 4174.67 417.748 195.302 1919.8 1253.61 null null null null 0 0 1919.802 1253.611 -151.855540996886 -141.118138508924 -.1850935803 .06373241544 .635835 -2.43396599812726 0 192.046 125.445 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 363.1282 364 655.9487 657 53.32955 51 69.31392 68 39 39 48.49806 88.14878 704 704 12.00886 15.94958 150 160 6959 6969 6964.79 155.015 .177543 0 12.0089 253.386 26.4616 109.742 15.9496 460.56 48.5339 195.389 165.211 139.54 null null null null 0 0 165.2111 139.5403 -74.5285777267817 -71.4158452436132 -.07333972364 .0647652749 .423771 -.589274403511531 0 17.2534 14.7048 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
12 25423.11 25021 58123.61 57606.5 51.89137 50 71.47321 70 36 36 3315.75 5835.746 672 672 11.98403 17.2203 150 160 6985 6995 6990.26 155.5 .134846 0 11.984 25313.3 2531.34 109.822 17.2203 57928.1 5792.83 195.472 15111.5 19169.1 null null null null 0 8 15111.47 19169.13 -220.344643511869 -224.501393124107 .1032957343 .06213880379 .903151 -1.01572071144226 0 1511.15 1916.92 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
13 1838.179 1851 3153.821 3189 55.34963 52 71.43852 69 39 39 223.4887 404.9365 675 675 14.66042 18.48619 150 160 7010 7020 7015.88 155.616 .283298 0 14.6604 1728.27 172.995 109.91 18.4862 2958.31 296.227 195.511 1138.12 887.434 null null null null 0 0 1138.124 887.4342 -135.24910993318 -130.201147099141 -.108053529 .0622751628 .79762 -1.0823717334309 0 113.923 88.8622 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 186.7222 188 587.5 589 54.85426 51 70.50853 68 36 36 28.89648 73.50471 645 645 16.55746 19.09356 150 160 7036 7046 7041.5 155.711 .220137 0 16.5575 76.7187 10.8181 110.004 19.0936 391.974 42.0811 195.526 49.4426 120.151 null null null null 0 0 49.44263 120.151 -38.0841534354211 -66.373759234033 .3856256443 .07996643621 .180587 -5.84807527802696 0 6.97193 12.899 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
15 1753.97 1695 3667.121 3649 56.53014 52 71.55951 69 33 33 157.0956 261.5864 647 647 18.00977 19.0078 151 161 7061 7071 7066.12 156.029 .313748 0 18.0098 1643.87 164.564 110.102 19.0078 3471.6 347.497 195.521 1082.86 1041.1 null null null null 0 0 1082.865 1041.102 -133.662101674355 -135.272395311331 -.01708086727 .06150133492 .422264 -.107227557248915 0 108.403 104.211 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
16 18373.22 18424 46639.41 46378 60.59627 52 74.30901 69 37 37 1304.729 3614.127 644 644 28.37017 23.50082 151 161 7087 7097 7092 156 .526882 0 28.3702 18263 1826.32 110.203 23.5008 46443.9 4644.41 195.543 11236.9 14911.7 null null null null 0 0 11236.86 14911.68 -209.994999765701 -217.496228377307 .1228818682 .06243571853 .821303 -1.3093379551728 0 1123.7 1491.18 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
17 9157.59 9114 17008.21 16681 52.29511 50 71.11315 69.5 39 39 1223.944 2113.898 654 654 12.3021 17.65978 151 161 7112 7122 7117.37 156.127 .204526 0 12.3021 9047.27 904.76 110.316 17.6598 16812.6 1681.33 195.56 5828.78 5155.22 null null null null 0 0 5828.777 5155.219 -187.726096333579 -185.282014290323 -.05333026379 .06161353757 .887745 -.412590953694596 0 582.898 515.543 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
18 770.9512 754 1557.439 1511 51.43896 51 69.55967 68 41 41 104.1235 188.5346 729 729 9.893494 16.44269 151 161 7138 7148 7143 156.258 .104932 0 9.89349 660.512 66.4901 110.439 16.4427 1361.96 137.054 195.479 436.959 406.701 null null null null 0 0 436.9595 406.7007 -104.773993305271 -105.625766882485 -.03116625697 .06188304572 .491189 -.211463775147618 0 43.9863 40.9262 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
19 17990.24 17779 20403.24 19989 51.87611 51 69.9882 69 38 38 1952.338 2215.663 678 678 11.24861 16.89204 151 161 7163 7173 7168.17 156.386 .123043 0 11.2486 17879.7 1787.98 110.572 16.892 20207.8 2020.83 195.484 11403.5 6259.09 null null null null 0 0 11403.46 6259.094 -209.322446881234 -191.113354761164 -.2605252204 .0658784531 .85234 -4.1154784434926 0 1140.36 625.927 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 289.1081 288 602.5946 603 54.07175 52 70.09417 68 37 37 34.75133 77.15801 669 669 13.718 18.53598 151 161 7188 7198 7193.36 156.75 .201467 0 13.718 178.39 19.4011 110.718 18.536 407.07 43.4908 195.525 115.804 123.876 null null null null 0 0 115.8037 123.8761 -63.5559473931003 -67.5533820703609 .02926502635 .06623331451 .13433 -.18137857524325 0 12.5945 13.2347 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1

Total number of rows: 15744

Table truncated, full table size 6228 Kbytes.




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