type: position_score
table:
  filename: Heart_c12__mean_counts_contribs.bw
  chrom:
    index: 0
  pos_begin:
    index: 1
  pos_end:
    index: 2
scores:
- id: liu2026Multiomics_Heart_c12_mean_counts_contribs
  type: float
  desc: base-resolution contribution scores for the counts head of ChromBPNet as computed
    by DeepLIFT
  index: 3
  histogram:
    type: number
    number_of_bins: 100
    y_log_scale: true
    x_log_scale: false
meta:
  summary: mean_counts_contribs for Heart for cell cluster c12
  description: '

    [Liu, et al, Multiomics and deep learning dissect regulatory syntax in human development,
    Nature 2026.](https://www.nature.com/articles/s41586-026-10326-9)


    Downloaded from: [https://zenodo.org/records/15066651](https://zenodo.org/records/15066651).

    Description of the data and download instructions can be found [https://github.com/GreenleafLab/HDMA/blob/main/DATA.md](https://github.com/GreenleafLab/HDMA/blob/main/DATA.md)

    '
  labels:
    assay: SHARE-seq
    organ: Heart
    cluster: Heart_c12
    dataset: liu2026Multiomics
    vendor: unknown
    sequencing_platform: Illumina
    reference_genome: reference/Human/genome/ucsc-hg38
    species: human
    resolution: pseudo_bulk_cell_type
    modalities: ATAC
    processing_level: contribution_scores
    data_types: atac_contribution