Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions
- DOI
- 10.1093/nargab/lqag063
- Published
- 2026-03-27
- Container
- NAR Genomics and Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/nargab/lqag063,
title = {Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions},
author = {Luca Schlegel and Fabio Gómez Cano and Alexandre P Marand and Frank Johannes},
year = {2026},
journal = {NAR Genomics and Bioinformatics},
doi = {10.1093/nargab/lqag063},
url = {https://doi.org/10.1093/nargab/lqag063}
}RIS
TY - JOUR TI - Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions AU - Luca Schlegel AU - Fabio Gómez Cano AU - Alexandre P Marand AU - Frank Johannes PY - 2026 JO - NAR Genomics and Bioinformatics DO - 10.1093/nargab/lqag063 UR - https://doi.org/10.1093/nargab/lqag063 ER -
APA
Schlegel, L., Cano, F. G., Marand, A. P., & Johannes, F. (2026). Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions. NAR Genomics and Bioinformatics. https://doi.org/10.1093/nargab/lqag063
Source records
- crossref · retrieved 2026-09-25T17:43:23.766Z