Name
Abstract | ||
|---|---|---|
With the completion of the human genome project, it is feasible to investigate large-scale human protein interaction network (HPIN) with complex networks theory. Proteins are encoded by genes. Essential, viable, disease, conserved, housekeeping (HK) and tissue-enriched (TE) genes are functional genes, which are organized and functioned via interaction networks. Based on up-to-date data from variou... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBCAS.2015.2487299 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | Field | DocType |
Diseases,Proteins,Databases,Protein engineering,Organisms,Receivers,Biological information theory | Venn diagram,Data mining,Interactome,Gene,Biological network,Computer science,Protein engineering,Interaction network,Control engineering,Complex network,Human genome,Computational biology | Journal |
Volume | Issue | ISSN |
10 | 3 | 1932-4545 |
Citations | PageRank | References |
1 | 0.35 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei Wang | 1 | 107 | 8.09 |
| Yao Chen | 2 | 193 | 10.85 |
| Lv Jinhu | 3 | 2906 | 244.29 |
| Qingyun Wang | 4 | 126 | 17.38 |
| Xinghuo Yu | 5 | 3954 | 300.63 |