Integrating Ontological Knowledge and Textual Evidence in Estimating Gene and Gene Product Similarity

PDF Version Also Available for Download.

Description

With the rising influence of the Gene On-tology, new approaches have emerged where the similarity between genes or gene products is obtained by comparing Gene Ontology code annotations associ-ated with them. So far, these approaches have solely relied on the knowledge en-coded in the Gene Ontology and the gene annotations associated with the Gene On-tology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature.

Physical Description

PDFN

Creation Information

Sanfilippo, Antonio P.; Posse, Christian; Gopalan, Banu; Tratz, Stephen C. & Gregory, Michelle L. June 8, 2006.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Publishers

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Description

With the rising influence of the Gene On-tology, new approaches have emerged where the similarity between genes or gene products is obtained by comparing Gene Ontology code annotations associ-ated with them. So far, these approaches have solely relied on the knowledge en-coded in the Gene Ontology and the gene annotations associated with the Gene On-tology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature.

Physical Description

PDFN

Source

  • Human Language Technology Conference/North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL) June 8-9, 2006, New York City, New York. Proceedings of the BioNLP'06 Workshop on Linking Natural Language Processing and Biology: Towards deeper biological literature analysis, 25-32

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

  • Report No.: PNNL-SA-54090
  • Grant Number: AC05-76RL01830
  • Office of Scientific & Technical Information Report Number: 908204
  • Archival Resource Key: ark:/67531/metadc888688

Collections

This article is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • June 8, 2006

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Nov. 29, 2016, 4:08 p.m.

Usage Statistics

When was this article last used?

Congratulations! It looks like you are the first person to view this item online.

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Sanfilippo, Antonio P.; Posse, Christian; Gopalan, Banu; Tratz, Stephen C. & Gregory, Michelle L. Integrating Ontological Knowledge and Textual Evidence in Estimating Gene and Gene Product Similarity, article, June 8, 2006; (digital.library.unt.edu/ark:/67531/metadc888688/: accessed May 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.