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Computational methods for gene regulatory networks reconstruction and analysis: a review
In the recent years, the vast amount of genetic information generated by new-generation
approaches, have led to the need of new data handling methods. The integrative analysis of …
approaches, have led to the need of new data handling methods. The integrative analysis of …
The spring of systems biology-driven breeding
Genetics and molecular biology have contributed to the development of rationalized plant
breeding programs. Recent developments in both high-throughput experimental analyses of …
breeding programs. Recent developments in both high-throughput experimental analyses of …
Inference of the gene regulatory network acting downstream of CROWN ROOTLESS 1 in rice reveals a regulatory cascade linking genes involved in auxin signaling …
Crown roots (CRs) are essential components of the rice root system. Several genes involved
in CR initiation or development have been identified but our knowledge about how they …
in CR initiation or development have been identified but our knowledge about how they …
[HTML][HTML] Computational Analysis of the Global Effects of Ly6E in the Immune Response to Coronavirus Infection Using Gene Networks
Gene networks have arisen as a promising tool in the comprehensive modeling and
analysis of complex diseases. Particularly in viral infections, the understanding of the host …
analysis of complex diseases. Particularly in viral infections, the understanding of the host …
Computational Ensemble Gene Co-Expression Networks for the Analysis of Cancer Biomarkers
J Figueroa-Martínez, DM Saz-Navarro… - Informatics, 2024 - mdpi.com
Gene networks have become a powerful tool for the comprehensive examination of gene
expression patterns. Thanks to these networks generated by means of inference algorithms …
expression patterns. Thanks to these networks generated by means of inference algorithms …
GNC–app: A new Cytoscape app to rate gene networks biological coherence using gene–gene indirect relationships
Motivation Gene networks are currently considered a powerful tool to model biological
processes in the Bioinformatics field. A number of approaches to infer gene networks and …
processes in the Bioinformatics field. A number of approaches to infer gene networks and …
Computational inference of gene co-expression networks for the identification of lung carcinoma biomarkers: An ensemble approach
Gene Networks (GN), have emerged as an useful tool in recent years for the analysis of
different diseases in the field of biomedicine. In particular, GNs have been widely applied for …
different diseases in the field of biomedicine. In particular, GNs have been widely applied for …
[HTML][HTML] Gfd-net: A novel semantic similarity methodology for the analysis of gene networks
Since the popularization of biological network inference methods, it has become crucial to
create methods to validate the resulting models. Here we present GFD-Net, the first …
create methods to validate the resulting models. Here we present GFD-Net, the first …
Development and use of a Cytoscape app for GRNCOP2
Abstract Background and Objective: Gene regulatory networks (GRNs) are essential for
understanding most molecular processes. In this context, the so-called model-free …
understanding most molecular processes. In this context, the so-called model-free …
Crosstalk pathway inference using topological information and biclustering of gene expression data
Detection of crosstalks among pathways is a challenging task, which requires the
identification of different types of interactions associated with cellular processes. A common …
identification of different types of interactions associated with cellular processes. A common …