Biomedical Literature Mining (e-book) (used book) | bookbook.eu

Description

1. Introduction to Biomedical Literature Text mining: Context and Objectives

Jeffrey D. Saffer and Vicki L. Burnett

2. Accessing Biomedical Literature in the Current Information Landscape

Ritu Khare, Robert Leaman and Zhiyong Lu

3. Mapping of Biomedical Text to Concepts of Lexicons, Terminologies and Ontologies

Mike Bada

4. Drug Interaction Text Mining

Hengyi Wu, ChienWei Chiang, and Lang Li

5. Biological Information Extraction and Co-occurence Analysis: State of the Art and Perspectives

Georgios Pavlopoulos, Vasilis Promponas, Christos Ouzounis and Ioannis Iliopoulos

6. Roles of Text Mining in Protein Function Prediction

Karin Verspoor

7. Functional Molecular Units for Guiding Biomarker Panel Design

Andreas Heinzel, Irmgard Mühlberger, Raul Fechete, Bernd Mayer, Paul Perco

8. Mining Biological Networks from Full-text Articles

Jan Czarnecki and Adrian J Shepherd

9. Scientific Collaboration Networks using Biomedical Text

Siddhartha Jonnalagadda, Philip Topham, Ryan Peeler, and Edward Silverman

10. Predicting Future Discoveries from Current Scientific Literature

Ingrid Petric, Tanja Urbancic, and Bojan Cestnik

Part III: From Electronic Biology to Drug Discovery and Development

11. Mining Emerging Biomedical Literature for Understanding Disease Associations in Drug Discovery

Deepak K. Rajpal, Xiaoyan A. Qu, Johannes Freudenberg, and Vinod Kumar

12. Integrating Literature and Data Mining to Rank Disease Candidate Genes

Chao Wu, Cheng Zhu, and Anil G Jegga

Mei Liu, Yong Hu, and Buzhou Tang

14. Systematic Drug Repositioning using Text Mining

Luis Tari and Jagruti Patel

15. Mining the Electronic Health Record for Disease-Specific Knowledge

Elizabeth S. Chen and Indra Neil Sarkar