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Jan 4, 2023 · This paper introduces a threshold criterion based on the underlying topology of the network. More specifically, the criterion considers both the rate at which ...
Gene co-expression networks (GCNs) specify binary relationships between genes and are of biological interest because significant network relationships ...
This paper introduces a threshold criterion based on the underlying topology of the network. More specifically, the criterion considers both the rate at which ...
We discuss briefly the types of molecular data that are used in molecular network analyses, survey the analytical methods for inferring molecular networks, and ...
A Network-based Approach for Inferring Thresholds in Co-expression Networks. https://doi.org/10.1007/978-3-031-21127-0_22. Journal: Complex Networks and Their ...
We provide an overview of recent network-based methods and their core ideas to facilitate the discovery of disease modules or candidate mechanisms.
Global gene coexpression network analysis is a powerful approach for identifying known and novel plant-specialized metabolic pathways.
Feb 2, 2010 · Here, we develop a general co-expression network-based approach for analyzing both genes and samples in microarray data.
Missing: Inferring | Show results with:Inferring
In this article, we propose a novel embedded Boolean threshold network method called LogBTF, which effectively infers GRN by integrating regularized logistic ...
Dec 12, 2023 · Rocha, “A Network-based Approach for In- ferring Thresholds in Co-expression Networks,” in International Conference on Complex. Networks and ...