Jun 27, 2021 · This work presents a parallel technique for gene regulatory network inference; referred as Improved Parallel Computation for Sparse Network Component Analysis ...

In this paper, we attempt to provide a more detailed overview of the recent parallel algorithms for constructing gene regulatory networks. Firstly, fundamentals ...

Network component analysis (NCA) represents an efficient computational framework for TRN inference from the information provided by microarrays, ChIP-on-chip ...

This paper presents a parallel algorithm for gene regulatory network construction, hereby referred to as H2pcGRN.

Sep 21, 2017 · The Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNE) represents one of the most effective tools to reconstruct gene ...

This paper presents a parallel algorithm for gene regulatory network construction, hereby referred to as H2pcGRN. The construction of gene regulatory ...

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

Oct 19, 2023 · Recent advances in sequencing technology have led to the development of state-of-the-art GRN inference methods that exploit matched single-cell multi-omic data.

Jul 21, 2023 · A gradient boosting and mutual information-based approach for identifying robust GRNs from scRNA-seq, snRNA-seq, and spatial transcriptomics data.

Mar 9, 2023 · Inference and analysis of gene regulatory networks (GRNs) require software that integrates multi-omic data from various sources.