Título

Identification of relevant genes with a multi-agent system using gene expression data

Autor

CHRISTIAN LEMAITRE LEON

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by-nc-nd/4.0

Referencia de publicación

isbn: 978-953-307-176-3

Referencia de datos

doi: https://www.intechopen.com/books/multi-agent-systems-modeling-interactions-simulations-and-case-studies/identification-of-relevant-genes-with-a-multi-agent-system-using-gene-expression-data

doi: 10.5772/15754

Materias

MEDICINA Y CIENCIAS DE LA SALUD - (CTI) Células Tumores Bioinformática Análisis de Expresión Génica

Resumen o descripción

In recent years, technology for information extraction from gene activity in cells, has made an import breakthrough with the DNA microarrays. With is technology itis possible for researches to know witch genes are active in a particular cell in particular situation. The comparison of gene expression paterns (which gene are active) of two cell of the same type, one normal and the other belonging to a tumor, can be of great help in understanding what are the genes that migth be involved in the tumor formation.

Editor

En :Robotics » Multiagent Systems » "Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies", book edited by Faisal Alkhateeb, Eslam Al Maghayreh and Iyad Abu Doush

Fecha de publicación

2011

Tipo de publicación

Capítulo de libro

Recurso de información

http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/128

Formato

application/pdf

Idioma

Inglés

Repositorio Orígen

Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpa

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