Researchers introduce CoDiffGRN, a method for gene regulatory network inference using BEELINE-KGC benchmark and co-evolutionary discrete diffusion.
Read the original at arxiv.org→arXiv:2607.13120v1 Announce Type: new Abstract: Inferring gene regulatory networks (GRNs) from single-cell transcriptomic data is crucial for biological discovery, yet existing approaches suffer from a fundamental...
Original headline: "CoDiffGRN: Rethinking Gene Regulatory Network Inference via the BEELINE-KGC Benchmark and Co-evolutionary Discrete Diffusion"