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Studying the Cohesi...
Studying the Cohesion Evolution of Genes Related to Chronic Lymphocytic Leukemia Using Semantic Similarity in Gene Ontology and Self-Organizing Maps
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Kontopoulos, Efstratios (författare)
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Moysiadis, Theodoros (författare)
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Tsagiopoulou, Maria (författare)
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- Darányi, Sándor (författare)
- Högskolan i Borås,Akademin för bibliotek, information, pedagogik och IT
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- Wittek, Peter (författare)
- Högskolan i Borås,Akademin för bibliotek, information, pedagogik och IT
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Papakonstantinou, Nikos (författare)
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Ntoufa, Stavroula (författare)
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Meditskos, Georgios (författare)
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Stamatopoulos, Kostas (författare)
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Kompatsiaris, Ioannis (författare)
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(creator_code:org_t)
- 2016
- 2016
- Engelska.
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Ingår i: Proceedings of SWAT4LS-16, 9th International Conference on Semantic Web Applications and Tools for Life Sciences.
- Relaterad länk:
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https://hb.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- A significant body of work on biomedical text mining is aimed at uncovering meaningful associations between biological entities, including genes. This has the potential to offer new insights for research, uncovering hidden links between genes involved in critical pathways and processes. Recently, high-throughput studies have started to unravel the genetic landscape of chronic lymphocytic leukemia (CLL), the most common adult leukemia. CLL displays remarkable clinical heterogeneity, likely reflecting its underlying biological heterogeneity which, despite all progress, still remains insufficiently characterized and understood. This paper deploys an ontology-based semantic similarity combined with self-organizing maps for studying the temporal evolution of cohesion among CLL-related genes and the extracted information. Three consecutive time periods are considered and groups of genes are derived therein. Our preliminary results indicated that our proposed gene groupings are meaningful and that the temporal dimension indeed impacted the gene cohesion, leaving a lot of room for further promising investigations.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Nyckelord
- Chronic Lymphocytic Leukemia
- Gene Ontology
- Semantic Similarity
- Semantic Drift
- Self-Organizing Maps
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)