A systematic study on latent semantic analysis model parameters for mining biomedical literature

BMC Bioinformatics

Table 1 Average precision values of queries (rows) across different parameters (columns)

	Abstracts	Titles & Abstracts	25 Eigen vectors	97% energy criterion	0.7/n criterion	Feature selection	No 1^st Eigen vector
axon guidance	0.33	1	1	1	1	1	1
apoptosis	0.2	0.20	0.18	0.19	0.23	0.3	0.27
cell fate	0.24	0.42	0.3	0.38	0.4	0.37	0.4
kinase	0.6	0.78	0.6	0.62	0.75	0.79	0.65
patterning	0.35	0.46	0.4	0.42	0.5	0.52	0.46
transcription	0.3	0.38	0.32	0.37	0.47	0.4	0.39
lissencephaly	0.4	1	1	1	1	1	1
breast cancer	0.25	0.74	0.37	0.5	0.75	0.67	0.7
tyrosine kinase	0.1	0.3	0.12	0.15	0.3	0.28	0.28
neurogenesis	0.18	0.32	0.13	0.18	0.32	0.3	0.3

ISSN: 1471-2105