NDLI: GO for gene documents

Please wait, while we are loading the content...

Towards applying text mining and natural language processing for biomedical ontology acquisition

Using emerging genome data to identify conserved bone morphogenetic protein (Bmp) 2 gene expression mechanisms

Framework for a protein ontology

A comparison study of biomedical short form definition detection algorithms

BioCAD: an information fusion platform for bio-network inference and analysis

Application of correlate summation to data clustering in the estrogen- and salt-sensitive female mRen2.Lewis rat

Integrating biomedical literature clustering and summarization approaches using biomedical ontology

Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations using a priori knowledge of gene relationships

Substring selection for biomedical document classification

GO for gene documents

GO for gene documents

Content Provider	ACM Digital Library
Author	Qiu, Xin Ying Srinivasan, Padmini
Abstract	Annotating genes and their products with Gene Ontology codes is an important area of research. One approach for doing this is to use the information available about these genes in the biomedical literature. Our goal, based on this approach, is to develop automatic methods for annotation that could supplement the expensive manual annotation processes currently in place. Using a set of Support Vector Machines (SVM) classifiers we were able to achieve Fscores of 0.48, 0.4 and 0.32 for codes of the molecular function, cellular component and biological process GO hierarchies respectively. We explore thresholding of SVM scores, the relationship of performance to hierarchy level and to the number of positives in the training sets. We find that hierarchy level is important especially for the molecular function and biological process hierarchies. We find that the cellular component hierarchy stands apart from the other two in many respects. This may be due to fundamental differences in link semantics. This research also exploits the hierarchical structures by defining and testing a relaxed criteria for classification correctness.
Starting Page	43
Ending Page	51
Page Count	9
File Format	PDF
ISBN	1595935266
DOI	10.1145/1183535.1183546
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-11-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gene ontology Automatic document annotation Hierarchy structures
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in