A LOGICAL AND ONTOLOGICAL FRAMEWORK FOR KNOWLEDGE DISCOVERY ON GENE REGULATORY NETWORKS. CASE STUDY: BILE ACID AND XENOBIOTIC SYSTEM (BAXS)

This work aims to develop a novel computational framework for automatic or semi-automatic modeling of gene regulatory networks, in which possible connections between genetic structural knowledge and other forms of knowledge available about GRNs can be explored. To perform the modeling of such networ...

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Bibliographic Details
Main Authors: López, J., Ramírez, Y., Dávila, J., Bastidas, M.
Format: Article
Language:English
Published: Cifra Publishing House 2020-12-01
Series:Journal of Bioinformatics and Genomics
Subjects:
Online Access:http://journal-biogen.org/article/view/236

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