Name
Title | ||
|---|---|---|
Integrating Semantic Transcriptomic Data Analysis And Knowledge Extraction From Biological Literature |
Abstract | ||
|---|---|---|
The paper presents an approach to the holistic analysis of transcriptomic data which integrates two state-ofthe-art methodologies into a coherent framework. The aim of the proposed approach is to give insight into the discovered patterns, help explaining the observed phenomena, enable the creation of new research hypotheses and assist in design of new experiments. We have integrated a methodology for semantic analysis of transcriptomic data, a system for automated extraction of biological relations from the literature, and a number of supporting components. The approach is demonstrated and evaluated on a publicly available dataset from a clinical trial in acute lymphoblastic leukaemia and a document corpus of full-text articles from the PubMed Open Access Subset. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | transcriptomic data, literature mining, data explanation |
Field | DocType | ISSN |
Lymphoblastic leukaemia,Information retrieval,Computer science,Semantic network,Knowledge extraction,Bioinformatics,Knowledge acquisition | Conference | 2156-1125 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vid Podpecan | 1 | 33 | 3.05 |
| Dragana Miljkovic | 2 | 8 | 5.97 |
| Marko Petek | 3 | 18 | 2.82 |
| Tjasa Stare | 4 | 1 | 1.70 |
| Kristina Gruden | 5 | 34 | 5.49 |
| Igor Mozetic | 6 | 608 | 198.93 |
| Nada Lavrac | 7 | 2004 | 635.45 |