LAWS-HiC: A Locally Adaptive Weighting and Screening (LAWS) Approach to Improve Detection of Long-Range Chromatin Interactions from Hi-C Data.

Zhou L, Chen C, Zhao JZ, Hu M, Li Y

DOI: 10.3390/mps9050135
Published: 2026 Sep 18
Container: Methods and protocols
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/mps9050135,
  title = {LAWS-HiC: A Locally Adaptive Weighting and Screening (LAWS) Approach to Improve Detection of Long-Range Chromatin Interactions from Hi-C Data.},
  author = {Zhou L and Chen C and Zhao JZ and Hu M and Li Y},
  year = {2026},
  journal = {Methods and protocols},
  doi = {10.3390/mps9050135},
  url = {https://doi.org/10.3390/mps9050135}
}

RIS

TY  - JOUR
TI  - LAWS-HiC: A Locally Adaptive Weighting and Screening (LAWS) Approach to Improve Detection of Long-Range Chromatin Interactions from Hi-C Data.
AU  - Zhou L
AU  - Chen C
AU  - Zhao JZ
AU  - Hu M
AU  - Li Y
PY  - 2026
JO  - Methods and protocols
DO  - 10.3390/mps9050135
UR  - https://doi.org/10.3390/mps9050135
ER  -

APA

L, Z., C, C., JZ, Z., M, H., & Y, L. (2026). LAWS-HiC: A Locally Adaptive Weighting and Screening (LAWS) Approach to Improve Detection of Long-Range Chromatin Interactions from Hi-C Data.. Methods and protocols. https://doi.org/10.3390/mps9050135

Source records

pubmed · retrieved 2026-09-25T06:13:45.032Z