The data were further analyzed by the software CT Analyzer (SkyScan, USA).
Normalized data were further analyzed using Spotfire DecisionSite for Functional Genomics software (TIBCO Spotfire, Boston MA, USA).
The experimental data were further analyzed by the quadrant-splitting technique.
Data were further analyzed through the use of IPA (Ingenuity Systems, www.ingenuity.com) to identify pathways and functions affected by IMPA1 KO, Slc5a3 KO, and Li treatment.
Bioinformatic data analysis was made by M.R.S. Data were further analyzed by B.R. and J.F.H. Experiments were designed by M.R.S., B.R., J.F.H., H.P. and M.P.S.
The experimental data were further analyzed to predict the optimal range of surface roughness and flank wear.
9 543 patients with complete baseline data were further analyzed for risk stratification and predictive value of GRACE discharge score.
Data were further analyzed using the multivariate analysis of variance (MANOVA), followed by the analysis of variance (ANOVA) and post hoc comparisons when significant differences were found.
The cell cycle data were further analyzed by WinMDI 2.9.
FACS data were further analyzed using FlowJo™ software (TreeStar Inc., OR).
Preprocessed functional data were further analyzed using custom software written in MATLAB.
