Abstract | ||
---|---|---|
We report on how the declarative nature of Answer Set Programming allows one to model and solve some well-known and challenging classes of problems in the general domain of bioinformatics. We briefly survey the main results appeared in the areas of genomics, structure prediction, and systems biology. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1007/s13218-018-0551-y | KI |
Keywords | Field | DocType |
Answer set programming, Bioinformatics | Data science,Bio informatics,Computer science,Systems biology,Genomics,Artificial intelligence,Answer set programming,Machine learning | Journal |
Volume | Issue | ISSN |
32 | 2-3 | 0933-1875 |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alessandro Dal Palù | 1 | 211 | 14.97 |
Agostino Dovier | 2 | 972 | 81.11 |
Andrea Formisano | 3 | 301 | 32.94 |
Enrico Pontelli | 4 | 1901 | 181.26 |