From Genes to Pathways and Back Again: A Visual Analytical Approach
-
2013/11/16
-
Details
-
Personal Author:
-
Description:A critical goal of biomarker discovery is to infer biological pathways based on co-occurring genes. Unfortunately, most gene-pathway databases provide very basic features such as Boolean searching that do not fully support the comprehension and exploration of the complex overlap between genes and pathways. We therefore repurposed an existing visual analytical system to guide in the search of pathways based on genes, and to enable the identification of additional genes from the narrowed set of pathways. A pilot study with a domain expert suggested that while the above two functionalities were useful, there was a need for a more integrated search and exploration approach that enabled (1) pathway narrowing based on inputted genes, (2) gene discovery from narrowed pathways, (3) gene narrowing based on inputted pathways, and (4) pathway discovery from narrowed genes. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
Publisher:
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Pages in Document:1
-
NIOSHTIC Number:nn:20055953
-
Citation:AMIA 2013 Annual Symposium, November 16-20, 2013, Washington, D.C. Bethesda, MD: American Medical Informatics Association 2013 Nov; :1
-
Federal Fiscal Year:2014
-
Performing Organization:University of Texas Medical Branch, Galveston
-
Peer Reviewed:False
-
Start Date:20100901
-
Source Full Name:AMIA 2013 Annual Symposium, November 16-20, 2013, Washington, D.C.
-
End Date:20130131
-
Collection(s):
-
Main Document Checksum:urn:sha-512:11c021797749c212bbb4386ff3143faf90f5bfa5a348c4b058363023010d78f4f354404c593972c79debfa51b892662119f6a871f4aca9f07cc03e4fb20e9d26
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like