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Use of Z-scores and K-means clustering to assign primary subcellular locations to proteins. Since many proteins were observed in two or more subcellular fractions, Z-scores of spectral counts across the four fractions were calculated to highlight the primary observed localization of each protein. K-means clustering was used to group proteins with similar profiles.
