1 resultado para lexical semantic
em Scielo Uruguai
Filtro por publicador
- Aberdeen University (9)
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (4)
- Academic Archive On-line (Stockholm University; Sweden) (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- Adam Mickiewicz University Repository (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (10)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (9)
- Aston University Research Archive (85)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (5)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (17)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (49)
- Boston University Digital Common (2)
- Brock University, Canada (4)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (21)
- Cambridge University Engineering Department Publications Database (33)
- CentAUR: Central Archive University of Reading - UK (98)
- Central European University - Research Support Scheme (4)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (6)
- Cochin University of Science & Technology (CUSAT), India (3)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (35)
- Department of Computer Science E-Repository - King's College London, Strand, London (10)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (11)
- Digital Peer Publishing (4)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (3)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (6)
- Escola Superior de Educação de Paula Frassinetti (1)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (17)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (4)
- Instituto Politécnico de Leiria (1)
- Instituto Politécnico do Porto, Portugal (4)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (4)
- Memoria Académica - FaHCE, UNLP - Argentina (12)
- Ministerio de Cultura, Spain (5)
- National Center for Biotechnology Information - NCBI (5)
- Nottingham eTheses (2)
- Open University Netherlands (3)
- Portal de Revistas Científicas Complutenses - Espanha (7)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (36)
- Queensland University of Technology - ePrints Archive (86)
- RDBU - Repositório Digital da Biblioteca da Unisinos (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (4)
- Repositório Institucional da Universidade de Aveiro - Portugal (4)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (80)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- School of Medicine, Washington University, United States (2)
- Scielo Uruguai (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (19)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (66)
- Universidade de Lisboa - Repositório Aberto (3)
- Universidade Federal do Pará (5)
- Universidade Federal do Rio Grande do Norte (UFRN) (9)
- Universita di Parma (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Montréal (1)
- Université de Montréal, Canada (24)
- Université Laval Mémoires et thèses électroniques (2)
- University of Michigan (4)
- University of Queensland eSpace - Australia (38)
- University of Southampton, United Kingdom (23)
- WestminsterResearch - UK (5)
Resumo:
In this paper we use concepts from graph theory and cellular biology represented as ontologies, to carry out semantic mining tasks on signaling pathway networks. Specifically, the paper describes the semantic enrichment of signaling pathway networks. A cell signaling network describes the basic cellular activities and their interactions. The main contribution of this paper is in the signaling pathway research area, it proposes a new technique to analyze and understand how changes in these networks may affect the transmission and flow of information, which produce diseases such as cancer and diabetes. Our approach is based on three concepts from graph theory (modularity, clustering and centrality) frequently used on social networks analysis. Our approach consists into two phases: the first uses the graph theory concepts to determine the cellular groups in the network, which we will call them communities; the second uses ontologies for the semantic enrichment of the cellular communities. The measures used from the graph theory allow us to determine the set of cells that are close (for example, in a disease), and the main cells in each community. We analyze our approach in two cases: TGF-β and the Alzheimer Disease.