Name
Abstract | ||
|---|---|---|
In recent years, non-coding RNAs (ncRNAs) have been focus of intensive research. Since the characteristics and signals of ncRNAs are not entirely known, researchers use different computational tools together with their biological knowledge to predict potential ncRNAs. In this context, this work presents a multiagent system to annotate ncRNAs based on the output of different tools, using inference rules to simulate biologists' reasoning. Experiments with real data of fungi allowed to identify novel putative ncRNAs, which shows the usefulness of our approach. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02624-4_13 | BSB |
Field | DocType | Volume |
Annotation,Biology,Artificial intelligence,Bioinformatics,Non-coding RNA,Rule of inference,Machine learning | Conference | 8213 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
13 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wosley Arruda | 1 | 0 | 0.68 |
| Célia Ghedini Ralha | 2 | 65 | 19.92 |
| Tainá Raiol | 3 | 3 | 2.75 |
| Marcelo M. Brigido | 4 | 71 | 16.62 |
| Maria Emilia M. T. Walter | 5 | 37 | 14.23 |
| Peter F. Stadler | 6 | 1839 | 152.96 |