Table 4 A sample of resources used for exploration
From: Mining semantic networks of bioinformatics e-resources from the literature
Resource name | Resource class | Number of Sentences | Number of descriptors |
|---|---|---|---|
Gene ontology (GO) | Data resource | 6757 | 289 |
Support vector machine (SVM) | Algorithm | 2456 | 134 |
Protein data bank (PDB) | Data resource | 904 | 102 |
Hidden Markov model (HMM) | Algorithm | 602 | 94 |
Principal components analysis (PCA) | Algorithm | 599 | 18 |
Position-specific scoring matrix (PSSM) | Algorithm | 457 | 24 |
Self organising map (SOM) | Algorithm | 305 | 137 |
Medical subject headings (MeSH) | Data resource | 261 | 138 |
Neural network | Algorithm | 256 | 158 |
Markov chain Monte Carlo (MCMC) | Algorithm | 252 | 132 |
Expression profile | Data | 252 | 136 |
Basic local alignment search tool (BLAST) | Application | 238 | 160 |
Phylogenetic tree | Data | 233 | 175 |
Structural classification of proteins (SCOP) | Data resource | 216 | 114 |
Kyoto encyclopaedia of genes and genomes (KEGG) | Data resource | 187 | 143 |
Clusters of orthologous groups (COG) | Data resource | 163 | 94 |
ChIp-chip data | Data | 126 | 66 |
Pairwise alignment | Data | 123 | 80 |