18 eredmény a kulcsszóra: 'gene expression data'
A vizsgálat eredményeit röviden úgy lehet összefoglalni, hogy Portugália a legjobban, Magyarország a legkevésbé fejlett ország; hazánkban a legnagyobbak a területi
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Gender comparison of STC2 gene expression Gene expression data for male and female BCs was obtained using the Almac Breast Cancer DSA ™ plat- form as described previously
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Though the sociologists of the Global North were still overrepresented both as participants and keynote speakers, many sessions were devoted to the issues which are
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For the purpose of the data mining process, the intensity values for each item (gene) in the matrix are considered coordinates of a point belonging to the item in a multi-
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For semi-supervised classifiers, by default, we report results for 20 iterations of self-training, i.e., 20 instances were labeled and added to the training set iter- atively
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HtrA1 does not influence the TGF-β-induced murine mucosal mast cell differentiation Ingenuity pathway analysis of our gene expression data showed that HtrA1 is involved in two
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(tumor suppressor loss) Gain of gene copies increases expression level. (oncogene activation) (De)Methylation of gene promoters (increase)decrease
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The dependence between the intensity of absorption and the concentration in 4-aminosalicylic acid is linear, with a fair correlation coefficient of 95 %.. This
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Many immune/chaperone genes are known to be essential for the normal functioning of the CNS, and immune function genes are capable of altering cognitive performance. Thus, we
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CONCLUSIONS Major conclusions: 1 Postmortem human brain tissue can be analyzed by high throughput gene expression profiling, and this analysis gives us unique insight into the
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Dynamic gene expression profiles were classified by transforming normalized gene counts to a relative scale where the highest expression time point had a value of 1.0 (100%).
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Effect of the CYP2C19*17 allele on gene expression was evaluated by analysing the association between CYP2C19 mRNA levels and CYP2C19 genotype data.. We
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Comparing the relative gene expression for Kir and 2-pore ion channels in ventricles, we observed decreased gene expression for Kir2.2, Kir6.1, and SUR2 but, interestingly, the
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By applying weighted gene co-expression network analysis (WGCNA), we identified 17 gene co-expression modules in normal, DCIS and basal-like tumor samples. We then correlated
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Changes in nuclear receptor gene expression in the disease cell lines directly point towards strong mito- chondrial involvement in LAM linking data to previous studies
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Our data revealed that 1) MDD fibroblasts, when compared to matched controls, show a strong mRNA gene expression difference in molecular networks known to engage
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