GRNFormer: Accurate Gene Regulatory Network Inference Using Graph Transformer

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Authors: Akshata Hegde, Jianlin Cheng
Cited by: 0

Abstract

GRNFormer v1.0.2-manuscript-archive — Archived Version Used in Manuscript Summary This tag archives the exact version of the codebase used to generate the results reported in the manuscript. Purpose Ensures reproducibility of the results described in the manuscript Preserves the precise code state used for experiments and analysis Allows readers and reviewers to access the same implementation used in the study No core functions and feature changes (fully backward compatible) Notes This version corresponds to the code used during manuscript result generation. No further modifications should be made to this archived tag.

Fields of Study & Subjects

Gene Regulatory Network Analysis Microbial Metabolic Engineering and Bioproduction Bioinformatics and Genomic Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN