HiCForecast: dynamic network optical flow estimation algorithm for spatiotemporal Hi-C data forecasting.

ABSTRACT:

Motivation

The exploration of the 3D organization of DNA within the nucleus in relation to various stages of cellular development has led to experiments generating spatiotemporal Hi-C data. However, there is limited spatiotemporal Hi-C data for many organisms, impeding the study of 3D genome dynamics. To overcome this limitation and advance our understanding of genome organization, it is crucial to develop methods for forecasting Hi-C data at future time points from existing timeseries Hi-C data.

Result

In this work, we designed a novel framework named HiCForecast, adopting a dynamic voxel flow algorithm to forecast future spatiotemporal Hi-C data. We evaluated how well our method generalizes forecasting data across different species and systems, ensuring performance in homo

SUBMITTER: Pinchuk D 

PROVIDER: S-EPMC11793695 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature