Interpreting results is the final and crucial step in quantitative colocalization analysis.
The results of colocalization calculations are presented in a table using simple linguistic variables such as "Weak", "Moderate", and "Strong"*.
We recommend using the following terminology to describe your colocalization data:
*For a detailed explanation of fuzzy linguistic variables and computer simulation used to interpret quantitative colocalization data, please refer to the article in Nature Publishing Group Scientific Reports.
Degree of colocalization/fuzzy linguistic variable/
Value of coefficients
Very Weak
Weak
Moderate
Strong
Very Strong
Rr
- 1.0 ~ - 0.27
- 0.26 ~ 0.09
0.1 ~ 0.48
0.49 ~ 0.84
0.85 ~ 1.0
R
0 ~ 0.49
0.50 ~ 0.70
0.71 ~ 0.88
0.89 ~ 0.97
0.98 ~ 1.0
k1-k2
0 ~ 0.49
0.50 ~ 0.70
0.71 ~ 0.88
0.89 ~ 0.97
0.98 ~ 1.0
m1-m2
0 ~ 0.54
0.50 ~ 0.77
0.78 ~ 0.94
0.96 ~ 0.98
0.99 ~ 1.0