Biomedical Literature Mining /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2014.
|
| Edición: | 1st ed. 2014. |
| Colección: | Methods in Molecular Biology,
1159 |
| Materias: |
Tabla de Contenidos:
- Introduction to Biomedical literature text mining: Context and Objectives
- Accessing Biomedical Literature in the Current Information Landscape
- Mapping of Biomedical Text to Concepts of Lexicons, Terminologies and Ontologies
- Drug Interaction Text Mining
- Biological Information Extraction and Co-occurence Analysis: State of the Art and Perspectives
- Roles of Text Mining in Protein Function Prediction
- Functional Molecular Units for Guiding Biomarker Panel Design
- Mining Biological Networks from Full-text Articles
- Scientific Collaboration Networks using Biomedical Text
- Predicting future discoveries from current scientific literature
- Mining Emerging Biomedical Literature for Understanding Disease Associations in Drug Discovery
- Integrating Literature and Data Mining to Rank Disease Candidate Genes
- Role of Text Mining in Early Identification of Potential Drug Safety Issues
- Systematic Drug Repositioning using Text Mining
- Mining the Electronic Health Record for Disease-Specific Knowledge.