Twelve hydrologic indicators that represent the magnitude and timing of the hydrologic regimes are evaluated for three 30-year time periods centered at the 1990s, 2050s and 2080s to identify significant alterations of hydrologic regimes between the reference and the two future periods using a t-test at 5% significance level.
It is therefore a major challenge to identify significant alterations of these products, and, in this context, proteomics can play a potentially relevant role in transfusion medicine (TM) to assess the protein composition of blood-derived therapeutics, particularly for identifying modified proteins.
One-way ANOVA tests were performed to identify significant alterations of taxa in individual subjects.
In our recent studies on first onset, drug naïve paranoid schizophrenia patients we identified significant alterations in the metabolic and proteomic profiles in CSF [7], [8].
Separately, we have used this method to identify significant alterations in additional glioblastomas, thyroid carcinomas, localized and metastatic prostate cancers, and additional subtypes of soft-tissue sarcoma (unpublished work).
Carotid Doppler-ultrasound did not identify significant alterations of blood flow.
fcMRI and H-MRS analyses have identified significant alterations in brain function and neurotransmitter concentration in the FM brain.
We recently identified significant alterations in 40 different miRNAs in the livers of PND 15 hypothyroid mice [ 32].
Despite these limitations, by applying stringent selection criteria, our study identified significant alterations in several important lipid classes associated with markers of inflammation and hepatic function in HIV patients on PI-based ART.
In order to identify significant alterations among all time points, 1-way ANOVA was applied to expression fold changes between expression in mastic oil and vehicle treated samples (p < 0.05, FDR<0.05) coupled with further filtering on fold change (>|0.2| in at least one time point in log2 scale).
