Mining the relation between leukemia and genes using Weka / 中华医学图书情报杂志
Chinese Journal of Medical Library and Information Science
;
(12): 50-54,60, 2015.
Artículo
en Chino
| WPRIM
| ID: wpr-600012
ABSTRACT
Objective To mine the relation between leukemia and genes using Weka. Methods The papers on leuke-mia and genes were retrieved from PubMed, their subject headings and subheadings were extracted using BICOMB to generate co-occurrence matrix and term-paper matrix. The research hotspots were found by cluster analysis of the data on co-occurrence matrix using Weka and Cobweb. The literature was verified. Results The 42 high fre-quency words were clustered into 7 classes by Weka. No high frequency words of leukemia or genes were found in classes 1, 2, 4 and 5, indicating that their clustering efficiency was poor. The clustering efficiency of the other 3 classes was good. Conclusion Cluster analysis showed that leukemia is related with myc gene, ab1 gene, p53 gene, virus gene, immunoglobulin gene and mdm gene.
Texto completo:
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Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Chinese Journal of Medical Library and Information Science
Año:
2015
Tipo del documento:
Artículo
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