A novel metric for hyperparameter optimization in Hi-C matrix prediction using linear regression
models_regression.zip: Archive of trained regression models merged_df.csv: The file containing all the scores and the human ranking per matrix of 'predicted_matrices_for_regression_25kb.zip' predicted_matrices_for_regression_25kb.zip: Predicted Hi-C contact matrices at 25kb resolution, used for input of regression-based models. image_rankings.csv: Ranking of matrices for predicted_matrices_for_regression_25kb.zip done by a human expert 100kb_evaluation_matrices.zip: Contains evaluation matrices for Hi-C data at 100kb resolution, used for benchmarking prediction performance. 50kb_evaluation_matrices.zip: Evaluation matrices for Hi-C data at 50kb resolution, used for benchmarking prediction performance.. image_rankings_100kb.csv: Image rankings specific to 100kb resolution evaluation data. Ranking by a human expert. image_rankings_50kb.csv: Image rankings specific to 50kb resolution evaluation data. Ranking by a human expert. GM12878_25kb_cooler_coarsen.cool: Cooler-format Hi-C data for GM12878 cell line at 25kb resolution. Original Hi-C data by Rao et al. 2014 (GSE63525). GM12878_25kb_cooler_coarsen_chr1.ginteractions.tsv: TSV of genomic interactions for chromosome 1 derived from the 25kb resolution Hi-C data. Original Hi-C data by Rao et al. 2014 (GSE63525). GM12878_25kb_cooler_coarsen_chr1.gz: Compressed version of genomic interaction data for chromosome 1, data in integer format. Original Hi-C data by Rao et al. 2014 (GSE63525). GM12878_25kb_cooler_coarsen_chr1.cool: Cooler-format Hi-C matrix specifically for chromosome 1 at 25kb resolution. Original Hi-C data by Rao et al. 2014 (GSE63525). scored_50kb.zip: Data to be processed with the notebook 50kb_vs_elo.ipynb scored_50kb.zip: Data to be processed with the notebook 100kb_vs_elo.ipynb
Institutions
- Medizinische Hochschule Hannover (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-05
- DOI
- https://doi.org/10.5281/zenodo.15341976
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00