| 000 | 02606nab a22004217a 4500 | ||
|---|---|---|---|
| 001 | G81360 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919020945.0 | ||
| 008 | 210727s2005 xxu|||p|op||| 00| 0 eng d | ||
| 022 | _a1435-0653 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.2135/cropsci2005.0748 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 072 | 0 | _aA50 | |
| 072 | 0 | _aF30 | |
| 090 | _aCIS-4366 | ||
| 100 | 1 |
_9907 _aBurgueño, J. _gGenetic Resources Program _8INT3239 |
|
| 245 | 1 | 0 | _aSpatial analysis of cDNA microarray experiments |
| 260 |
_aUSA : _bCSSA : _bWiley, _c2005. |
||
| 340 | _aComputer File|Printed | ||
| 500 | _aPeer review | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0011-183X | ||
| 520 | _aMicroarray experiments allow RNA level measurements for many genes in multiple samples. However, mining the biological information from the large sets of data generated by microarrays requires the use of appropriate statistical methods to adjust the observed values for experimentally introduced variability (normalization process) before testing differences among samples. Normalization of microarray experiments is a critical step for reducing false positives and false negatives. This paper explores the normalization of cDNA microarray experiments by a method that uses the blank spot intensity values to make spatial adjustment (SA) of both foreground and background DNA spot intensity values, by fitting an autoregressive mixed linear model through the residual maximum likelihood (REML) methodology in the direction of the rows and the columns of the microarray. Application of this spatial normalization to three cDNA array experiments serves as a case study to validate the SA. Results show that the spatial analysis allows selection of candidate genes with lesser numbers of false positive and false negative genes. | ||
| 536 | _aGenetic Resources Program | ||
| 546 | _aText in English | ||
| 591 | _a0503|Crop Science Society of America (CSSA)|AL-ABC Program | ||
| 594 | _aINT3239|CCJL01 | ||
| 650 | 7 |
_acDNA libraries _2AGROVOC _926129 |
|
| 650 | 7 |
_aArrays _2AGROVOC _927641 |
|
| 650 | 7 |
_aGenes _2AGROVOC _93563 |
|
| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
|
| 700 | 1 |
_920329 _aGrimanelli, D. |
|
| 700 | 1 |
_920332 _aLeblanc, O. |
|
| 700 | 1 |
_921678 _aAutran, D. |
|
| 773 | 0 |
_tCrop Science _n630716 _gv. 45, no. 2, p. 748-757 _dUSA : CSSA : Wiley, 2005. _wG444244 _x1435-0653 |
|
| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/313 |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c25315 _d25315 |
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