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Table 4 Summary of pooled estimates from fitting GLM and GLMM to bootstrap samples from Pancreas dataset

From: scDC: single cell differential composition analysis

 

Fixed effect model - Pancreas

 
 

Estimate

std.error

Statistic

df

p.value

(Intercept)

4.68

0.09

52.09

9.84

0.00

Beta

-0.94

0.16

-5.87

4.10

0.00

Ductal

-1.14

0.14

-7.91

5.87

0.00

T2D

0.06

0.12

0.51

10.22

0.62

patientHP1504101_T2D

-0.28

0.14

-2.05

7.41

0.06

patientHP1504901

-0.27

0.11

-2.38

12.35

0.03

patientHP1506401

-0.39

0.12

-3.34

12.35

0.01

patientHP1507101

-0.03

0.11

-0.32

12.35

0.76

patientHP1508501_T2D

0.01

0.10

0.10

12.35

0.92

patientHP1509101

-0.87

0.14

-6.42

12.35

0.00

patientHP1525301_T2D

0.07

0.10

0.77

12.35

0.45

beta:T2D

-0.52

0.22

-2.40

5.41

0.03

ductal:T2D

0.59

0.19

3.12

5.54

0.01

 

Mixed effect model - Pancreas

 
 

Estimate

std.error

Statistic

df

p.value

(Intercept)

4.37

0.12

36.20

16.21

0.00

Beta

-0.94

0.16

-5.87

5.99

0.00

Ductal

-1.14

0.14

-7.91

8.59

0.00

T2D

0.31

0.17

1.80

16.90

0.09

beta:T2D

-0.52

0.22

-2.40

7.92

0.03

ductal:T2D

0.59

0.19

3.12

8.14

0.01

  1. Beta, ductal are the cell-type effect. T2D is abbreviation of type two diabetes effect. Subject ID followed by underscore of T2D represents type two diabetes subject. Subject ID without underscore of T2D represents normal subject