human u133a expression microarray chip Search Results


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Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ). Two additional in vivo microarray data sets, Rat2 and Rat3, were obtained from the public web portal of the National Institute of Environmental Health Science (NIEHS, http://cebs.niehs.nih.gov ). Rat1 set was chosen and used for our multi-gene model development. Human1 set was used to identify our COXEN genes which showed concordant gene expression networks between in vitro human liver cells and in vivo rat liver cells. The other four sets---Rat2, Rat3, Rat4, and Human2 were used only for our independent evaluation of the hepatocellular toxicity prediction model.
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Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ). Two additional in vivo microarray data sets, Rat2 and Rat3, were obtained from the public web portal of the National Institute of Environmental Health Science (NIEHS, http://cebs.niehs.nih.gov ). Rat1 set was chosen and used for our multi-gene model development. Human1 set was used to identify our COXEN genes which showed concordant gene expression networks between in vitro human liver cells and in vivo rat liver cells. The other four sets---Rat2, Rat3, Rat4, and Human2 were used only for our independent evaluation of the hepatocellular toxicity prediction model.
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Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ). Two additional in vivo microarray data sets, Rat2 and Rat3, were obtained from the public web portal of the National Institute of Environmental Health Science (NIEHS, http://cebs.niehs.nih.gov ). Rat1 set was chosen and used for our multi-gene model development. Human1 set was used to identify our COXEN genes which showed concordant gene expression networks between in vitro human liver cells and in vivo rat liver cells. The other four sets---Rat2, Rat3, Rat4, and Human2 were used only for our independent evaluation of the hepatocellular toxicity prediction model.
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Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ). Two additional in vivo microarray data sets, Rat2 and Rat3, were obtained from the public web portal of the National Institute of Environmental Health Science (NIEHS, http://cebs.niehs.nih.gov ). Rat1 set was chosen and used for our multi-gene model development. Human1 set was used to identify our COXEN genes which showed concordant gene expression networks between in vitro human liver cells and in vivo rat liver cells. The other four sets---Rat2, Rat3, Rat4, and Human2 were used only for our independent evaluation of the hepatocellular toxicity prediction model.
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Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ). Two additional in vivo microarray data sets, Rat2 and Rat3, were obtained from the public web portal of the National Institute of Environmental Health Science (NIEHS, http://cebs.niehs.nih.gov ). Rat1 set was chosen and used for our multi-gene model development. Human1 set was used to identify our COXEN genes which showed concordant gene expression networks between in vitro human liver cells and in vivo rat liver cells. The other four sets---Rat2, Rat3, Rat4, and Human2 were used only for our independent evaluation of the hepatocellular toxicity prediction model.

Journal: Journal of Theoretical Biology

Article Title: In vitro transcriptomic prediction of hepatotoxicity for early drug discovery

doi: 10.1016/j.jtbi.2011.08.009

Figure Lengend Snippet: Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ). Two additional in vivo microarray data sets, Rat2 and Rat3, were obtained from the public web portal of the National Institute of Environmental Health Science (NIEHS, http://cebs.niehs.nih.gov ). Rat1 set was chosen and used for our multi-gene model development. Human1 set was used to identify our COXEN genes which showed concordant gene expression networks between in vitro human liver cells and in vivo rat liver cells. The other four sets---Rat2, Rat3, Rat4, and Human2 were used only for our independent evaluation of the hepatocellular toxicity prediction model.

Article Snippet: The ALT data of the Rat3 set were also provided in the recent publication ( Chou and Bushel, 2009 ). table ft1 table-wrap mode="anchored" t5 caption a7 Data Set Sample Species Study usage Source a ID Array Platform Samples Drug Rat1 Rat liver ( in vivo ) Training GEO {"type":"entrez-geo","attrs":{"text":"GSE5509","term_id":"5509"}} GSE5509 Affymetrix Rat 230 2.0 39 6 Human1 Human HepG2 ( in vitro) COXEN & Test GEO {"type":"entrez-geo","attrs":{"text":"GSE6907","term_id":"6907"}} GSE6907 Affymetrix Human HG-Focus 30 9 Rat2 Rat Liver ( in vivo ) Test NIEHS 839186700 Affymetrix Rat 230 2.0 34 1 Rat3 Rat Liver ( in vivo ) Test NIEHS 839173713 Affymetrix Rat 230 2.0 48 1 Rat4 Rat Liver ( in vivo ) Test GEO {"type":"entrez-geo","attrs":{"text":"GSE8251","term_id":"8251"}} GSE8251 GE 990 147 Healthcare/AmershamCodeLi nkUniSet Rat I Human2 Human primary Test GEO {"type":"entrez-geo","attrs":{"text":"GSE10410","term_id":"10410"}} GSE10410 Affymetrix HG U133 Plus 2.0 37 3 hepatocyte ( in vitro ) Open in a separate window a GEO web address: http://www.ncbi.nlm.nih.gov/geo/ NIEHS web address: http://cebs.niehs.nih.gov/cebs-browser/cebsHome.do?enter=home caption a8 Rat liver ( in vivo ) and human liver cell ( in vitro ) microarray datasets were used for computational model derivation and evaluation Six previously-published microarray sets from four in vivo and two in vitro hepatocellular toxicity experiments were used to construct and validate our prediction model. Four microarray data sets of hepatology Rat1, Human1, and Human2 were from the NCBI GEO database ( http://www.ncbi.nlm.nih.gov/geo ).

Techniques: In Vivo, In Vitro, Microarray, Construct, Expressing