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Table 3 Similarities across different studies in terms of the effect of mismatch type.

From: Large scale analysis of positional effects of single-base mismatches on microarray gene expression data

3a:

     
 

Spearman Correlation Coefficients, N = 12 (mismatch type) (Prob > |r| under H0: Rho = 0)

 

Pozhitkov2006

Schwarz2006

Wick2006

Naiser2008

Current Study

Pozhitkov2006

1.00000

0.60596

(0.0368)

-0.07005

(0.8287)

0.06655

(0.8372)

0.45884

(0.1335)

Schwarz2006

 

1.00000

-0.05594

(0.8629)

0.05594

(0.8629)

0.60839

(0.0358)

Wick2006

  

1.00000

0.62937

(0.0283)

0.33566

(0.2861)

Naiser2008

   

1.00000

0.56643

(0.0548)

Current study

    

1.00000

3b:

     
 

Pearson Correlation Coefficients, N = 12 (mismatch type) (Prob > |r| under H0: Rho = 0)

 

Pozhitkov2006

Schwarz2006

Wick2006

Naiser2008

Current study

Pozhitkov2006

1.00000

0.46958

(0.1235)

-0.11957

(0.7113)

-0.07138

(0.8255)

0.19784

(0.5377)

Schwarz2006

 

1.00000

-0.14616

(0.6503)

-0.01975

(0.9514)

0.59298

(0.0421)

Wick2006

  

1.00000

0.71084

(0.0096)

0.47112

(0.1221)

Naiser2008

   

1.00000

0.57443

(0.0508)

Current study

    

1.00000

  1. 3a: using Spearman's correlation coefficient; 3b: using Pearson's correlation coefficient. The statistics in bold indicate the correlation coefficient significantly different from the chance, i.e., p value ≤ 0.05; or marginally significantly different, i.e., 0.05 < p value < 0.07.