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Interpretation of results is the final and crucial step of quantitative colocalization analysis. The table below presents the results of colocalization calculations based on the use of simple linguistic variables, such as "Weak", "Moderate", and "Strong"*. This is the terminology we recommend using to describe your colocalization data:

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

*To read article explaining the use of fuzzy linguistic variables and computer simulation for interpretation of quantitative colocalization data in details, go to Nature Publishing Group Scientific Reports.

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