Knowledge based framework for genetic disease diagnosis using data mining technique

P. Haritha*, R. Priyatharshini, A. G. Abishek, V. Kamala Kiran

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad mewn cynhadleddadolygiad gan gymheiriaid

Crynodeb

Gene Ontology is a structured repository of concepts that are associated to one or more gene products. The Gene Ontology describes gene products in terms of their associated biological processes, cellular components and molecular functions in a species-independent manner. There are different approaches available to discover the biologically relevant associations between terms of Gene Ontology. Multiple genomic and proteomic semantic annotations scattered in many distributed and heterogeneous data sources such heterogeneity and dispersion hamper the biologists’ ability of asking global queries and performing global evaluations. To overcome this problem, we developed a knowledge based framework to create and maintain a Genomic and Proteomic Knowledge Base, which integrates several of the most relevant sources. We have developed an approach using Multi-Ontology data mining at All Levels (MOAL) to mine cross-ontology association rules, i.e. rules that involve Gene Ontology terms present in its sub-ontologies for identifying the gene attacked disease.

Iaith wreiddiolSaesneg
TeitlKnowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings
GolygyddionBranislav Hadzima, Lorna Uden, I-Hsien Ting
CyhoeddwrSpringer Verlag
Tudalennau489-500
Nifer y tudalennau12
ISBN (Argraffiad)9783319952031
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 18 Gorff 2018
Cyhoeddwyd yn allanolIe
Digwyddiad13th International Conference on Knowledge Management in Organizations, KMO 2018 - Zilina, Slofacia
Hyd: 6 Awst 201810 Awst 2018

Cyfres gyhoeddiadau

EnwCommunications in Computer and Information Science
Cyfrol877
ISSN (Argraffiad)1865-0929

Cynhadledd

Cynhadledd13th International Conference on Knowledge Management in Organizations, KMO 2018
Gwlad/TiriogaethSlofacia
DinasZilina
Cyfnod6/08/1810/08/18

Dyfynnu hyn