Reconstructing spatial organizations of chromosomes through manifold learning
Author(s) -
Guangxiang Zhu,
Wenxuan Deng,
Hailin Hu,
Rui Ma,
Sai Zhang,
Jinglin Yang,
Jian Peng,
Tommy Kaplan,
Jianyang Zeng
Publication year - 2018
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gky065
Subject(s) - biology , chromosome conformation capture , genome , manifold (fluid mechanics) , folding (dsp implementation) , nonlinear dimensionality reduction , chromatin , computational biology , decoding methods , space (punctuation) , range (aeronautics) , euclidean space , genomic organization , evolutionary biology , gene , genetics , artificial intelligence , computer science , algorithm , mechanical engineering , gene expression , materials science , electrical engineering , mathematics , enhancer , pure mathematics , engineering , composite material , operating system , dimensionality reduction
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