Inference of single-cell network using mutual information for scRNA-seq data analysis
SINUM presents a view of biological systems at the network level to detect cell-type marker genes/gene pairs and investigate time-dependent changes in gene associations during embryo development. Codes for SINUM are freely available at https://github.com/SysMednet/SINUM .
Authors
- Shery L. Y. Chang (ORCID: https://orcid.org/0000-0001-7514-4584)
- Chun‐Yu Lin (ORCID: https://orcid.org/0000-0003-2901-2681)
- Ting-Yi Hao
- Weijie Wang (ORCID: https://orcid.org/0000-0002-1665-9016)
Institutions
- National Yang Ming Chiao Tung University (TW)
- Kaohsiung Medical University (TW)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1186/s12859-024-05895-3
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Shanghai Educational Development Foundation
- Ministry of Education, India
- National Science and Technology Council