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The integrated model, along with the various sets of linkages derived from individual data sets, was assessed on an independent test set of gene functional linkages derived from the MIPS protein function annotation set, calculating recall and precision of the MIPS reference linkages (Figure 4).
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To circumvent this problem, microarray gene expression data sets addressing the same or similar biological questions have been analyzed jointly either by so-called meta analysis [1] [5], which means integration at the level of results derived separately from individual data sets, or by data merging [6] [16].
Estimates of pharmacokinetic parameters for BMS-184476 were derived from individual concentration time data sets by noncompartmental analysis methods performed using the PKMENU application written in SAS version 6.12.
Estimates of pharmacokinetics parameters for ssHHT were derived from individual concentration time data sets by noncompartmental analysis using the software package WinNonLin version 4.0 (Pharsight Corporation, Mountain View, CA, USA).
The coefficient of variation (CV) for the between- and within-run precision for analytical quality control samples were no greater than 3.0 and 7.1%, respectively Estimates of pharmacokinetic parameters for BMS-188797 were derived from individual concentration time data sets by noncompartmental analyses (Gibaldi and Perrier, 1982).
This repetitive approach was used to assess how the estimates of the parameter values change when considering a composite data set derived from individual sets of data.
Estimates of pharmacokinetic parameters for UAL were derived from individual concentration-time data sets by noncompartmental analysis.
Estimates of PK parameters for cyclophosphamide, including AUC, Cmax, Tmax, t1/2, the apparent oral clearance (Cl/F) and apparent oral volume of distribution (Vd/ F) were derived from individual concentration-time data sets by non-compartmental methods using the software package WinNonlin (version 5.3, Pharsight Corporation, St Louis, MO, USA).
Both data-sets are derived from individual register data ensuring a high quality of measurement.
The null hypothesis of congruence is accepted (P≥0.05) by calculating the probability that the sum of the most-parsimonious tree lengths derived from random partitions of the data sets is equal to or lower than the sum of the tree lengths from the individual data sets.
The meta-dataset deriving from the integration of the individual data sets described above represent to our knowledge the largest study publicly available based on the Affymetrix HG-U95Av2 array.
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