The phrase "accurately separated from" is correct and usable in written English.
It can be used when discussing the precise distinction or differentiation between two or more elements or concepts.
Example: "In the analysis, the data must be accurately separated from any external influences to ensure valid results."
Alternatives: "clearly distinguished from" or "precisely isolated from".
All two-population analyses accurately separated samples from different populations (Additional file 2: Figures S1B G and Figure 2B G).
The analysis accurately separated normal tissue from breast cancer samples.
This signature accurately separated Class B from the other classes demonstrating that the delegate genes may reclassify melanomas according to categories of potential prognostic value.
The eight assays accurately separated the French strains from the remaining globally diverse genotypes (data not shown).
Moreover, the genes that were differentially expressed in subgroups of advanced stage patients without MYCN amplification accurately separated MYCN amplified tumours from low stage tumours without MYCN amplification.
For many study subjects, NeP resulted from an underlying condition (eg, spinal cord injury, trauma/surgery, human immunodeficiency virus infection, diabetes), and in some instances physicians may not have accurately separated NeP-related HRU from that due to the underlying condition.
The score accurately separated patients who subsequently died from those who lived for four years (area under the receiver-operating-characteristic curve = 0.849).
However, the difference in Tasseled Cap classification more accurately separated deciduous shrubs and harvested stands from closed canopy forest.
The two approaches are compared, and it is shown that FRAP is unable to determine processes occurring at low molecular concentrations, especially accurately separating binding/unbinding from diffusion, and its results depend on the concentration of the studied molecules.
As shown in Figure S3, a U133A predictor of docetaxel (Table S3) accurately separates responders from non-responders (P = 0.02, sensitivity: 90%, specificity: 57%, positive predictive value: 60%, negative predictive value: 89%, Figure S3).
