Výsledky vyhledávání

Normalization of two-channel microarray experiments: a semiparametric approach

Autor: Darrell R. Boverhof, Lyle D. Burgoon, J. E. Eckel, Chris Gennings, Terry M. Therneau, Timothy R. Zacharewski

Publikováno v: Bioinformatics. 21:1078-1083

Motivation: An important underlying assumption of any experiment is that the experimental subjects are similar across levels of the treatment variable, so that changes in the response variable can be attributed to exposure to the treatment under stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::512e37e495d7c96b28f6f05488e6af31
https://doi.org/10.1093/bioinformatics/bti105

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Identification of temporal patterns of gene expression in the uteri of immature, ovariectomized mice following exposure to ethynylestradiol

Autor: Chris Gennings, Timothy R. Zacharewski, J. E. Eckel, K. C. Fertuck

Publikováno v: Physiological Genomics. 15:127-141

Estrogen induction of uterine wet weight provides an excellent model to investigate relationships between changes in global gene expression and well-characterized physiological responses. In this study, time course microarray GeneChip data were analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4bdafc47a8ee2b0bc958638f0e0dc5
https://doi.org/10.1152/physiolgenomics.00058.2003

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LAB-MOLECULAR EPIDEMIOLOGY

Autor: L. Bie, G. Zhao, M. McClland, Y. Ju, P. Y. Li, D. J. Zhou, Z. Jin, R. B. Jenkins, Y. Xiao, H. Sicotte, P. A. Decker, T. M. Kollmeyer, H. M. Hansen, M. L. Kosel, S. Zheng, K. M. Walsh, T. Rice, P. Bracci, I. Smirnov, J. F. Patoka, G. Hsuang, J. L. Wiemels, T. Tehan, A. R. Pico, M. D. Prados, M. S. Berger, A. A. Caron, S. R. Fink, C. Halder, A. L. Rynearson, B. L. Fridley, B. P. O'Neill, C. Giannini, D. H. Lachance, J. K. Wienke, J. E. Eckel-Passow, M. R. Wrensch, D. Aref, A. Perry, M. Taylor, C. Eberhardt, J. Olson, C. Moffatt, S. Croul, C. Maurice, K. Belanger, F. Berthelet, X. Weng, E. S. Amirian, Y. Liu, H. Okada, S. N. Sarkar, M. L. Bondy, M. E. Scheurer, R. Verhaak, S. Sarkar, M. Scheurer, M. Bondy, B. Melin, Z. Wang, P. Rajaraman, S. Chanock, G. Consortium, A. Smith, W. P. Accomando, E.-A. Houseman, C. J. Marsit, J. K. Weincke, K. T. Kelsey

Publikováno v: Neuro-Oncology. 14:vi50-vi52

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::535acbcdb2252aa013674ffb15af9e80
https://doi.org/10.1093/neuonc/nos225

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Empirical bayes gene screening tool for time-course or dose-response microarray data

Autor: Lyle D. Burgoon, Chris Gennings, Timothy R. Zacharewski, Vernon M. Chinchilli, J. E. Eckel

Publikováno v: Journal of biopharmaceutical statistics. 14(3)

An efficient method to reduce the dimensionality of microarray gene expression data from thousands or tens of thousands of cDNA clones down to a subset of the most differentially expressed cDNA clones is essential in order to simplify the massive amo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::899afc480894fcea2bcc0d6fdff2b856
https://pubmed.ncbi.nlm.nih.gov/15468757

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Temporal- and dose-dependent hepatic gene expression changes in immature ovariectomized mice following exposure to ethynyl estradiol

Autor: Lyle D. Burgoon, Chris Gennings, Darrell R. Boverhof, Timothy R. Zacharewski, J. E. Eckel, K. C. Fertuck

Publikováno v: Carcinogenesis. 25(7)

Temporal- and dose-dependent changes in hepatic gene expression were examined in immature ovariectomized C57BL/6 mice gavaged with ethynyl estradiol (EE), an orally active estrogen. For temporal analysis, mice were gavaged every 24 h for 3 days with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::752d45d095a1c7e776f87fe385fe39ba
https://pubmed.ncbi.nlm.nih.gov/14976129

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Protocols for the assurance of microarray data quality and process control

Autor: J. E. Eckel-Passow, Lyle D. Burgoon, J. W. Burt, Chris Gennings, Timothy R. Zacharewski, Cora J. Fong, Darrell R. Boverhof

Publikováno v: Nucleic Acids Research

Microarrays represent a powerful technology that provides the ability to simultaneously measure the expression of thousands of genes. However, it is a multi-step process with numerous potential sources of variation that can compromise data analysis a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e726b9985f3c1a10d986a9047955828
https://doi.org/10.1093/nar/gni167

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