Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

12

BMCBI
2006

favoriteEmaildiscussreport

130views more BMCBI 2006»

Identifying biological concepts from a protein-related corpus with a probabilistic topic model

13 years 4 months ago

Identifying biological concepts from a protein-related corpus with a probabilistic topic model

Download www.biomedcentral.com

Background: Biomedical literature, e.g., MEDLINE, contains a wealth of knowledge regarding functions of proteins. Major recurring biological concepts within such text corpora represent the domains of this body of knowledge. The goal of this research is to identify the major biological oncepts from a corpus of protein-related MEDLINE

Bin Zheng, David C. McLean Jr, Xinghua Lu

Real-time Traffic

Biological | Biological Concepts | BMCBI 2006 | Gene Ontology |

claim paper

Related Content

» Passage relevance models for genomics search

» Probabilistic Topic Models for Learning Terminological Ontologies

» A TwoDimensional TopicAspect Model for Discovering MultiFaceted Topics

» Content Models with Attitude

» Probabilistic Task Content Modeling for Episodic Textual Narratives

» To Beat or Not to Beat Beat Gestures in Direction Giving

» Learning and evaluating response prediction models using parallel listener consensus

» Evolutionary Sequence Modeling for Discovery of Peptide Hormones

Post Info
More Details (n/a)

Added	10 Dec 2010
Updated	10 Dec 2010
Type	Journal
Year	2006
Where	BMCBI
Authors	Bin Zheng, David C. McLean Jr, Xinghua Lu

Comments (0)