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Analyses of statistical correlation between the datasets were performed using the GWR method as described above.
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Initial analysis of the datasets was performed using the Agilent ChIP Analytics software (version 1.3.1) to average both replicates as previously described [36].
Normalization of the datasets was performed using an invariant-set approach.
Analysis of the datasets was performed using STATA 12.0 (StataCorp. 2011) and R software (R-package version 2.13).
Analyses of incongruence length differences (ILD; [ 29]) among partitions of the dataset were performed using PAUP* 4.0 [ 30].
The calculation of most of these descriptors for each compound of the dataset was performed using online E-Dragon software (version 1.0).
Quality control of the dataset was performed using Principal Components Analysis (PCA) to confirm that there were no outlying replicate samples, and dye labeling had no associated bias.
Analyses of the resulting micro-CT datasets were performed using the aforementioned software packages.
Analyses of the resulting MIR microscopic imaging datasets were performed using the mentioned software packages.
The protein database searches, using the combined PMF and MS/MS datasets, were performed using Bio Tools 3.2 software (Bruker).
ii) After ensuring a normal distribution of α, linear regressions through the cross-sectional and longitudinal datasets were performed using a random-effects GLS regression model with infant-specific intercepts adjusted for sex and weight at the measurement.
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