10 research outputs found

    Additional file 1: of An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray

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    Figure S1. Estimated cell purity by flow cytometry per cell type. Figure S2. Heatmap based on a hierarchical cluster of purified cell types and cell mixtures based on the array SNPs. Figure S3. Association between the top 20 principal components and potential confounders for DNA methylation. Figure S4. Iterative testing of different L-DMR library sizes using the IDOL optimization algorithm. Table S1. Cell composition percentages for the artificial reconstruction samples. Figure S5. Comparison of several probe selection methods and estimated cell proportions using constrained projection/quadratic programming (CP/QP) versus the reconstructed (true) DNA fraction in the artificial DNA mixtures. Figure S6. Bland-Altman plots comparing the mean differences between the estimated cell fraction using three deconvolution methods and the true fraction in the artificial mixture per cell type. Figure S7. Comparison of the estimated cell proportions using CP/QP using an IDOL-optimized library restricted to the Illumina HumanMethylation450K脗聽k array versus the reconstructed (true) DNA fraction in the artificial DNA mixtures arrayed in the 450脗聽k platform. (PDF 618脗聽kb

    Pedagog铆a social : revista interuniversitaria

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    Monogr谩fico con el t铆tulo "Recordando a Constancio M铆nguez 脕lvarez. De la Pedagog铆a Social a la Educaci贸n Social"Jos茅 Garc铆a Molina habla sobre su experiencia como alumno, educador y profesor de Pedagog铆a Social. Reflexiona acerca de la evoluci贸n y situaci贸n actual de esta disciplina en Espa帽a y sobre otros temas como la educaci贸n de adultos.ES

    Additional file 8 of Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)

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    Figure S4. Bland-Altman plots constructed from cell fraction estimates of the n=6 MethodB reconstruction samples obtained using the (a) TopANOVA, (b) EstimateCellCounts, and (c) IDOL optimized L-DMR libraries. (PDF 282 kb

    Additional file 3: of The aquaglyceroporin AQP9 contributes to the sex-specific effects of in utero arsenic exposure on placental gene expression

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    Expression of arsenic transport and metabolism genes does not appear to be different between male and female placenta. Boxplots comparing expression in male and female placenta of (A) AS3MT, (B) GSTM1, (C) AQP9, and (D) SLC39A2. Upper and lower ends of boxes indicate the 25th and 75th percentiles, respectively, and black band represents the median. Error bars represent minimum and maximum values, excluding outliers, which are depicted as open dots. P values are based on a Wilcoxon signed rank test. (PPTX 271脗聽kb

    Additional file 6: of The aquaglyceroporin AQP9 contributes to the sex-specific effects of in utero arsenic exposure on placental gene expression

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    Candidate gene associations with percentages of different urinary arsenic subtypes in male and female placenta. The percentages of iAs, MMAV, and DMAV in maternal urine were computed by dividing their urinary levels by total U-As levels. Multivariable linear regression analyses were then performed to determine the association of the percentage of arsenic subtype with developmental/stemness gene expression, after cohort stratification by infant sex (females; sheet 1, males; sheet 2). Analyses were adjusted for maternal age only. *P聽<聽0.05, **P聽<聽0.01. (XLSX 61聽kb
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