iDDN: determining trans-omics network structure and rewiring with integrative differential dependency networks
The Python package of iDDN is available at https://github.com/cbil-vt/iDDN. A user's guide is provided at https://iddn.readthedocs.io/.
Authors
- Sarah J. Parker (ORCID: https://orcid.org/0000-0001-8911-3615)
- Robert Clarke (ORCID: https://orcid.org/0000-0002-9278-0854)
- Yingzhou Lu (ORCID: https://orcid.org/0009-0008-7774-6018)
- David M. Herrington (ORCID: https://orcid.org/0000-0002-7670-6400)
- Guoqiang Yu (ORCID: https://orcid.org/0000-0002-6743-7413)
- Yue Wang (ORCID: https://orcid.org/0000-0002-1788-1102)
- Zhen Zhang (ORCID: https://orcid.org/0000-0001-7825-2679)
- Yi Fu (ORCID: https://orcid.org/0000-0001-6911-0724)
- Yizhi Wang (ORCID: https://orcid.org/0000-0001-9456-0743)
Institutions
- Cedars-Sinai Medical Center (US)
- University of Minnesota (US)
- Johns Hopkins University (US)
- Hormel (United States) (US)
- Cedars-Sinai Smidt Heart Institute (US)
- Wake Forest University (US)
- Virginia Tech (US)
- Tsinghua University (CN)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf086
- Citations
- 2
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- National Institutes of Health