Name
Title | ||
|---|---|---|
Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments |
Abstract | ||
|---|---|---|
Malaria is a major health threat, affecting over 40% of the world's population. The latest report released by the World Health Organization estimated about 207 million cases of malaria infection, and about 627,000 deaths in 2012 alone. During the past decade, new therapeutic targets have been identified and are at various stages of characterization, thanks to the emerging omics-based technologies. However, the mechanism of malaria pathogenesis remains largely unknown. In this paper, we employ a novel neighborhood subnetwork alignment approach to identify network components that are potentially involved in pathogenesis. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/1752-0509-9-S4-S1 | BMC Systems Biology |
Keywords | Field | DocType |
Malaria, Central Protein, Network Alignment, Graph Kernel, Functional Orthologs | Population,Biology,Pathogenesis,Systems biology,Network alignment,Cell biology,Protozoan Proteins,Plasmodium falciparum,Malaria,Bioinformatics,Subnetwork | Journal |
Volume | Issue | ISSN |
9 | S-4 | 1752-0509 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Cai | 1 | 65 | 11.01 |
| Timothy G. Lilburn | 2 | 80 | 34.51 |
| Changjin Hong | 3 | 32 | 4.33 |
| Jianying Gu | 4 | 20 | 6.05 |
| Rui Kuang | 5 | 484 | 31.16 |
| Yufeng Wang | 6 | 51 | 14.37 |