H2pcGRN is a hybrid high performance-computing algorithm for gene regulatory network inference. The proposed algorithm is based on both the hybrid parallelism ...
This paper presents a parallel algorithm for gene regulatory network construction, hereby referred to as H2pcGRN.
This paper presents a parallel algorithm for gene regulatory network construction, hereby referred to as H2pcGRN.
Jan 1, 2021 · Hybrid high-performance computing algorithm for gene regulatory network · Faculty of Computer and Information Sciences · Ain Shams University.
The research introduces a novel parallel algorithm designed to enhance the construction of gene regulatory networks, referred to as H2pcGRN.
May 18, 2023 · This approach limits the computational search space of possible network structures and takes advantage of a-priori structural information to ...
In this paper, we propose a method to exploit hybrid Petri net (HPN) for representing gene regulatory networks. The HPN is an extension of Petri nets which have ...
The results demonstrated that the proposed algorithm could infer GRN more correct than classical methods and time-delayed methods. Introduction. With the ...
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