Skip to main content

Table 2 Structural variables

From: Fuzzy association rules for biological data analysis: A case study on yeast

Sup.

Conf.

CF

Association rule

0.12

0.40

0.15

length = LOW → G + C = HIGH

0.12

0.38

0.14

G + C = LOW → length = HIGH

0.12

0.41

0.16

G + C = HIGH → length = LOW

0.12

0.40

0.14

length = HIGH → G + C = LOW

0.13

0.41

0.17

intLength = LOW → intGC = LOW

0.13

0.43

0.18

intGC = LOW → intLength = LOW

0.13

0.44

0.21

intGC = HIGH → intLength = HIGH

0.13

0.44

0.22

intLength = HIGH → intGC = HIGH

0.18

0.63

0.24

intLeng. = HIGH → orient. = DIV

0.23

0.56

0.15

intLeng. = MED → orient. = TAN

0.20

0.40

0.16

orient. = TAN → intGC = LOW

0.20

0.68

0.37

intGC = LOW → orient = TAN

0.19

0.36

0.10

orient. = DIV → intGC = HIGH

0.19

0.65

0.27

intGC = HIGH → orient. = DIV

0.13

0.42

0.17

intGC = LOW → G + C = LOW

0.13

0.41

0.17

G + C = LOW → intGC = LOW

0.14

0.46

0.23

G + C = HIGH → intGC = HIGH

0.14

0.46

0.23

intGC = HIGH → G + C = HIGH

0.038

0.48

0.12

chr = 16 → intLeng. = MED

0.010

0.41

0.17

chr = 3 → gct = HIGH

0.015

0.39

0.14

chr = 9 → intGC = HIGH

  1. This table shows the selected rules involving structural features.