Table 8

Topic 200: ranking term associations

Rank

Term association

Term count

Communalities


1

high lupus serum

33

69.4

2

lupus protein serum

47

62.7

3

activ lupus serum

7

61.2

4

activ serum

118

60.0

5

activ associ diseas

124

59.9

6

associ diseas lupus

162

59.5

7

activ associ high

7

59.2

8

lupus serum

116

58.5

9

diseas high lupus

90

58.0

10

associ protein

20

58.0


Term associations are presented by applying the factor analysis based model: (1) the top 10 term associations are shown among <a onClick="popup('http://www.biomedcentral.com/1471-2105/13/S9/S2/mathml/M52','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/13/S9/S2/mathml/M52">View MathML</a> term associations generated by the proposed approach; (2) term count are computed from the top 1000 documents of the baseline; (3) the communality of each term association is calculated by the factor analysis based model; (4) the rank of term associations is given by their communalities.

Hu et al. BMC Bioinformatics 2012 13(Suppl 9):S2   doi:10.1186/1471-2105-13-S9-S2

Open Data