$\textit{BlockFormer}$ : Transformer-based inference from genomic contact maps

Excerpt

arXiv:2605.21617v3 Announce Type: replace Abstract: Locating genomic features from genomic contact maps, such as centromere identification from genome-wide chromosome conformation capture techniques, notably Hi-C, can be formulated as an inverse problem: infer one parameter per entity given a map summarizing pairwise interactions through blocks of variable numbers and sizes. In this work, we introduce a data-driven approach that leverages shared structure between these contact maps, such as glob