Name
Title | ||
|---|---|---|
<Emphasis Type="Italic">LocText</Emphasis>: relation extraction of protein localizations to assist database curation |
Abstract | ||
|---|---|---|
The subcellular localization of a protein is an important aspect of its function. However, the experimental annotation of locations is not even complete for well-studied model organisms. Text mining might aid database curators to add experimental annotations from the scientific literature. Existing extraction methods have difficulties to distinguish relationships between proteins and cellular locations co-mentioned in the same sentence. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2021-9 | BMC Bioinformatics |
Keywords | Field | DocType |
Relation extraction, Text mining, Protein, Subcellular localization, GO, Annotations, Database curation | Scientific literature,Annotation,Biology,Protein subcellular localization prediction,Parsing,Workflow,Sentence,Database,DNA microarray,Relationship extraction | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 32 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Miguel Cejuela | 1 | 53 | 3.33 |
| Shrikant Vinchurkar | 2 | 0 | 0.68 |
| Tatyana Goldberg | 3 | 34 | 3.92 |
| Madhukar Sollepura Prabhu Shankar | 4 | 0 | 0.34 |
| Ashish Baghudana | 5 | 0 | 0.34 |
| Aleksandar Bojchevski | 6 | 90 | 8.21 |
| Carsten Uhlig | 7 | 0 | 0.34 |
| André Ofner | 8 | 0 | 0.34 |
| Pandu Raharja-Liu | 9 | 0 | 0.34 |
| Lars Juhl Jensen | 10 | 2202 | 137.56 |
| Burkhard Rost | 11 | 795 | 88.14 |