HiFiC-G: Adapting HiFiC for Hi-C Contact Matrices
Read the original on arXiv Computer Vision →The paper investigates adapting the HiFiC generative image compression model, originally designed for natural photographs, to compress Hi‑C chromatin contact maps while preserving biologically relevant features. By replacing HiFiC’s distortion term with a spatially‑weighted MSE that emphasizes loops, TAD boundaries, stripes, and compartments, and adding an insulation‑score loss, the authors fine‑tune a pretrained HiFiC checkpoint in a three‑phase strategy to create HiFiC‑G. Evaluation on two cell lines shows HiFiC‑G better retains local structures such as stripes and TAD boundaries, though long‑range A/B compartment preservation remains limited due to architectural constraints.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.