Logical knowledge representation of regulatory relations in biomedical pathways

Sine Zambach; Jens Ulrik Hansen

Logical knowledge representation of regulatory relations in biomedical pathways

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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 parts of a pathway.

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 articial intelligence for hypothesis development in drug discovery.

Originalsprog	Engelsk
Titel	ITBAM 2010 : 1st International Conference on Information Technology in Bio- and Medical Informatics
Redaktører	S. Khuri, L. Lhotská, N. Pisanti
Antal sider	14
Forlag	Springer
Publikationsdato	2010
Sider	186-200
Status	Udgivet - 2010
Begivenhed	1st International Conference on Information Technology in Bio- and Medical Informatics 2010 - Bilbao, Spanien Varighed: 30 aug. 2010 → 3 sep. 2010 Konferencens nummer: 1

Konference

Konference	1st International Conference on Information Technology in Bio- and Medical Informatics 2010
Nummer	1
Land/Område	Spanien
By	Bilbao
Periode	30/08/2010 → 03/09/2010

Navn	Lecture Notes in Computer Science
Vol/bind	6266
ISSN	0302-9743

Emneord

Formelle relationer
Vidensrepræsentation
Biomedicinske ontologier
Formelle ontologier

Citer dette

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title = "Logical knowledge representation of regulatory relations in biomedical pathways",

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 parts of a pathway. 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 articial intelligence for hypothesis development in drug discovery.",

keywords = "Formelle relationer, Vidensrepr{\ae}sentation, Biomedicinske ontologier, Formelle ontologier, Formal relations, Knowledge representation, Semantic analysis, Biomedical ontologies, Applied logic, Formal ontologies, Knowledge Discovery",

author = "Sine Zambach and Hansen, {Jens Ulrik}",

year = "2010",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "186--200",

editor = "S. Khuri and L. Lhotsk{\'a} and N. Pisanti",

booktitle = "ITBAM 2010",

note = "1st International Conference on Information Technology in Bio- and Medical Informatics 2010 ; Conference date: 30-08-2010 Through 03-09-2010",

}

Zambach, S & Hansen, JU 2010, Logical knowledge representation of regulatory relations in biomedical pathways. i S Khuri, L Lhotská & N Pisanti (red), ITBAM 2010: 1st International Conference on Information Technology in Bio- and Medical Informatics. Springer, Lecture Notes in Computer Science, bind 6266, s. 186-200, 1st International Conference on Information Technology in Bio- and Medical Informatics 2010, Bilbao, Spanien, 30/08/2010.

Logical knowledge representation of regulatory relations in biomedical pathways. / Zambach, Sine; Hansen, Jens Ulrik.
ITBAM 2010: 1st International Conference on Information Technology in Bio- and Medical Informatics. red. / S. Khuri; L. Lhotská; N. Pisanti. Springer, 2010. s. 186-200 (Lecture Notes in Computer Science, Bind 6266).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Logical knowledge representation of regulatory relations in biomedical pathways

AU - Zambach, Sine

AU - Hansen, Jens Ulrik

N1 - Conference code: 1

PY - 2010

Y1 - 2010

N2 - 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 parts of a pathway. 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 articial intelligence for hypothesis development in drug discovery.

AB - 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 parts of a pathway. 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 articial intelligence for hypothesis development in drug discovery.

KW - Formelle relationer

KW - Vidensrepræsentation

KW - Biomedicinske ontologier

KW - Formelle ontologier

KW - Formal relations

KW - Knowledge representation

KW - Semantic analysis

KW - Biomedical ontologies

KW - Applied logic

KW - Formal ontologies

KW - Knowledge Discovery

M3 - Article in proceedings

T3 - Lecture Notes in Computer Science

SP - 186

EP - 200

BT - ITBAM 2010

A2 - Khuri, S.

A2 - Lhotská, L.

A2 - Pisanti, N.

PB - Springer

T2 - 1st International Conference on Information Technology in Bio- and Medical Informatics 2010

Y2 - 30 August 2010 through 3 September 2010

ER -