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Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways

Zambach, Sine and Hansen, Jens Ulrik LU (2010) In Lecture Notes in Computer Science 6266. p.186-200
Abstract
Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller sections of a pathway.



As an alternative, in this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss the usage of these relations in biology and in artificial intelligence for hypothesis development in drug discovery.
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
formal relations semantic analysis biomedical ontologies knowledge representation knowledge discovery applied logic formal ontologies
in
Lecture Notes in Computer Science
volume
6266
pages
186 - 200
publisher
Springer
external identifiers
  • scopus:78049483629
ISSN
1611-3349
DOI
10.1007/978-3-642-15020-3_17
language
English
LU publication?
no
id
78c4711a-1a2b-4ed8-a493-976ba13801a9 (old id 4017420)
date added to LUP
2013-09-05 13:43:28
date last changed
2017-01-01 08:01:27
@article{78c4711a-1a2b-4ed8-a493-976ba13801a9,
  abstract     = {Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller sections of a pathway.<br/><br>
<br/><br>
As an alternative, in this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss the usage of these relations in biology and in artificial intelligence for hypothesis development in drug discovery.},
  author       = {Zambach, Sine and Hansen, Jens Ulrik},
  issn         = {1611-3349},
  keyword      = {formal relations semantic analysis biomedical ontologies knowledge representation knowledge discovery applied logic formal ontologies},
  language     = {eng},
  pages        = {186--200},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science},
  title        = {Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways},
  url          = {http://dx.doi.org/10.1007/978-3-642-15020-3_17},
  volume       = {6266},
  year         = {2010},
}