Aug 15, 2023 · In this article, we address this issue by focusing on a novel method capable of simulating the gene expression regulation of a group of genes and their mutual ...

Aug 15, 2023 · By simulating gene expression, we can gain insights into the complex mechanisms that control gene expression and how they are affected by ...

Aug 10, 2023 · By simulating gene expression, we can gain insights into the complex mechanisms that control gene expression and how they are affected by ...

By simulating gene expression, we can gain insights into the complex mechanisms that control gene expression and how they are affected by various environmental ...

The goal of most recent studies of system biology is to model, simulate and identify the interaction networks of components. Gene Regulatory Networks (GRN) are ...

In this report, a machine learning approach is presented to predict GRNs specific to developing Arabidopsis thaliana embryos. We developed the Beacon GRN ...

Aug 30, 2023 · Machine learning approaches to simulate gene expression and infer gene regulatory networks have gained significant attention as a promising area of research.

Apr 12, 2024 · Here we present LINGER (Lifelong neural network for gene regulation), a machine-learning method to infer GRNs from single-cell paired gene expression and ...

Jan 20, 2022 · Gene network inference methods have been developed to predict regulatory interactions based upon the dependencies between genes in both bulk and ...

Apr 5, 2023 · Here, we developed a method named AGRN that infers GRNs by employing an ensemble of machine learning algorithms.