In this paper, several network sampling strategies are explored on a set assembled from previous published gene interactions in yeast, expecting to reconstruct ...
Abstract— Currently there are various approaches to the reconstruction of gene regulatory networks from different sources of data.
Dec 20, 2021 · Overall, the scale-free property is a relevant feature of biological networks, including GRNs, providing network resilience against random node ...
In this paper, a fast and accurate predictor set inference framework which linearly combines some inference methods is proposed.
The topology of a human gene coexpression network, derived from tissue-specific expression profiles, shows scale-free properties that imply evolutionary self- ...
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May 26, 2021 · They usually consist in proper sample-wise normalization, identification of differential gene expression, ontology enrichment among sets of ...
Mar 15, 2018 · A critical step in the analysis of large genome-wide gene expression datasets is the use of module detection methods to group genes into co-expression modules.
We present Seidr (stylized Seiðr), a software toolkit designed to assist scientists in gene regulatory and gene co-expression network inference.
May 1, 2012 · Our study represents a concrete application of gene regulatory network inference to ovarian cancer, demonstrating the complete cycle of ...
Abstract. A novel approach to generating scale-free network topologies is introduced, based on an existing artificial gene regulatory network model.