Open AccessPersonalized discovery of disrupted pathways and significant genes in preeclampsia based on accumulated normal tissue data
Author(s) -
Ying Luo,
Xiaochen Ma,
Qing Gao,
Luquan Cao
Publication year - 2017
Publication title -
journal of cancer research and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 39
eISSN - 0973-1482
pISSN - 1998-4138
DOI - 10.4103/0973-1482.203603
Subject(s) - gene , biological pathway , folding (dsp implementation) , biology , computational biology , microbiology and biotechnology , gene expression , genetics , electrical engineering , engineering
This study was designed to identify disrupted pathways in an individual with preeclampsia (PE) using accumulated normal sample data based on individualized pathway aberrance score (iPAS) method.
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