2006
DOI: 10.1016/j.ajog.2006.06.077
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High-dimensional biology in obstetrics and gynecology: Functional genomics in microarray studies

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Cited by 33 publications
(16 citation statements)
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“…By prospectively collecting salivary samples from a new group of neonates, we validated that assumption and demonstrated that there is a distinct gene expression profile associated with neonatal transitioning at birth that can be seen independently, repeatedly, and in different biofluids. Indeed, Romero and Tromp have argued that validation of micro-array experiments must be conducted in different sets of samples, ‘otherwise the validation will be of the microarray technique, rather than the biological problem under study’ [10]. …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…By prospectively collecting salivary samples from a new group of neonates, we validated that assumption and demonstrated that there is a distinct gene expression profile associated with neonatal transitioning at birth that can be seen independently, repeatedly, and in different biofluids. Indeed, Romero and Tromp have argued that validation of micro-array experiments must be conducted in different sets of samples, ‘otherwise the validation will be of the microarray technique, rather than the biological problem under study’ [10]. …”
Section: Discussionmentioning
confidence: 99%
“…Informed parental consent was obtained for each enrolled subject ( n = 20). There is a growing consensus in the literature that a minimum of five microarray experiments are required for statistically significant results [10]. For the purpose of this study, we chose to exceed those standards and analyze 10 biological specimens collected from two groups of neonates.…”
Section: Methodsmentioning
confidence: 99%
“…3 Several reviews on the application of these technologies to reproductive medicine have recently been published. [4][5][6][7][8][9] Application to the endometrium is presented herein.…”
Section: Introductionmentioning
confidence: 99%
“…Metabolomics and other high-dimensional biology approaches (genomics, transcriptomics, metabolomics, lipidomics, glycomics, etc.) [2,3] represent discovery platforms to identify differences in the composition of biological samples (e.g. serum or plasma, urine, cerebrospinal fluid, amniotic fluid, tissues, etc.)…”
Section: Author's Replymentioning
confidence: 99%