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Name	deDoc2
Type	Single Cell and Spatial Omics
Version	v1.0
Developers	Angsheng Li, Guangjie Zeng, Haoyu Wang, Xiao Li , Zhihua Zhang
Description	deDoc2 is a prediction tool based on the information theory of structural information, which predicts TAD-like domains (TLDs) of chromosomes. It treats the Hi-C contact map as a weighted graph and applies dynamic programming algorithms to globally optimize the two-dimensional structural entropy of the graph partitions. deDoc2 consists of two predictors, deDoc2.w and deDoc2.s, which predict TLDs at higher-level, larger scales, and lower-level, smaller scales, respectively. deDoc2.w minimizes the structural entropy in the entire Hi-C contact map, while deDoc2.s minimizes the structural entropy in a sliding window matrix. The combined results from deDoc2.w and deDoc2.s form a hierarchical TLD structure.
Downlaod	https://github.com/zengguangjie/deDoc2
Article	https://onlinelibrary.wiley.com/doi/full/10.1002/advs.202300366
Cite Count	1
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