LBF-MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time-Series Gene Expression Data
LBF-MI's superior performance in gene regulatory network inference enables researchers to uncover the regulatory mechanisms and cellular behaviors of various organisms.
Authors
- Niaz Ashraf Khan (ORCID: https://orcid.org/0000-0003-2314-419X)
- Hira Lal Gope (ORCID: https://orcid.org/0000-0002-9431-091X)
- Shohag Barman (ORCID: https://orcid.org/0000-0002-0299-1608)
- Fahmid Al Farid (ORCID: https://orcid.org/0000-0003-2625-2348)
- Sarina Binti Mansor (ORCID: https://orcid.org/0000-0002-4939-0631)
- Md. Ferdous Bin Hafiz (ORCID: https://orcid.org/0009-0003-0218-5088)
- Syed Farhan Ahmad (ORCID: https://orcid.org/0000-0002-6596-0980)
Institutions
- Gopalganj Science and Technology University (BD)
- Sylhet Agricultural University (BD)
- Multimedia University (MY)
- University of Liberal Arts Bangladesh (BD)
- Southeast University (BD)
- University of Chittagong (BD)
Publication Details
- Journal
- Genes
- Published
- 2024-11-27
- DOI
- https://doi.org/10.3390/genes15121530
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Multimedia University