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ICGNI
- Source :
- ICVISP
- Publication Year :
- 2019
- Publisher :
- ACM, 2019.
-
Abstract
- Biological network inference has always been one of the central topics in systems biology. Network inference can be regarded as a process of determining relations between nodes with efficient measurements. For gene regulatory networks, transcriptomic data such as single cell RNA sequencing (sc RNA-seq) have increasingly act as the main information source in reconstructing network structures. Although many methods have been proposed towards this challenge, most of them do not focus on sing-cell data and omit the characteristics of gene regulatory networks. Here, we presented a new method names ICGNI to solve these problems about gene functional clustering, network inference with single-cell data and hub genes finding. Three single cell datasets were used to evaluate the performance of our method with satisfying results.
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 3rd International Conference on Vision, Image and Signal Processing
- Accession number :
- edsair.doi...........6a3751ab7b4eebdf3c560c1290a9482d