This feature of database may help in identification of the structural features responsible for highly selective or broad-spectrum activity of phytomolecules against different mycobacterial strains.
This is a common feature of database mining of ESTs for identification of SSRs [ 16, 49].
Important features of this database are compared with those of existing databases in Table 1.
Table 3 includes some features of EPIC database as those shown in Table 2. Table 3 EPIC database characteristics File ID #word occ.
Moreover, efforts are on to include data from more mammalian species for the testis tissue, further improve query features of this database and even develop a few other tissue-specific databases.
Logging in enables you to turn on, turn off, or otherwise customize many features of this database.
Finally, we discuss the particular features of the database design that aid in performing these analyses, and suggest potential future upgrades and refinements.
The PCA-based descriptor captures the important geometric features of the database, and provides a compact representation of the design space.
But not many classifiers that exploit geometrical and topological features of the database have been utilized to design computationally efficient classifiers.
