Name
Abstract | ||
|---|---|---|
Efficient mining of high-throughput data has become one of the popular themes in the big data era. Existing biology-related feature ranking methods mainly focus on statistical and annotation inform... |
Year | Venue | Field |
|---|---|---|
2015 | IEEE/ACM Trans. Comput. Biology Bioinform. | Annotation,Computer science,Feature ranking,Artificial intelligence,Throughput,Big data,Machine learning |
DocType | Volume | Issue |
Journal | 12 | 6 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Liao | 1 | 0 | 1.35 |
| Yan Jiang | 2 | 11 | 1.54 |
| Wei Liang | 3 | 8 | 8.58 |
| Peng Lihong | 4 | 6 | 1.80 |
| Li Peng | 5 | 2 | 4.42 |
| Damien Hanyurwimfura | 6 | 10 | 3.06 |
| Zejun Li | 7 | 7 | 4.16 |
| Min Chen | 8 | 11 | 1.63 |