Skip to main content

Table 4 Comparisons of regression patterns and k-means clusters obtained from 770 ANOVA significant genes.

From: Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments

Regression Patterns

K-means Clusters

 

K1 (163)

K2 (126)

K3 (107)

K4 (42)

K5 (81)

K6 (95)

K7 (41)

K8 (64)

K9 (51)

FLAT (211)

12

30

36

18

19

8

41

20

27

LU (165)

0

68

0

0

51

10

0

36

0

LD (72)

19

0

53

0

0

0

0

0

0

QC (43)

5

0

0

20

0

0

0

0

18

QV (8)

0

1

0

0

0

7

0

0

0

QLCU (13)

0

0

0

0

4

0

0

8

1

QLCD (151)

127

0

15

4

0

0

0

0

5

QLVU (104)

0

27

0

0

7

70

0

0

0

QLVD (3)

0

0

3

0

0

0

0

0

0

  1. The numbers in the parenthesis represent numbers of genes contained in regression patterns or k-means clusters obtained from the analyses on the data of 770 genes.