Individual-level analysis of differential expression of genes and pathways for personalized medicine | Zendy

Hongwei Wang | Zendy; Qiang Sun | Zendy; Wenyuan Zhao | Zendy; Lishuang Qi | Zendy; Yunyan Gu | Zendy; Pengfei Li | Zendy; Mengmeng Zhang | Zendy; Yang Li | Zendy; ShuLin Liu | Zendy; Zheng Guo | Zendy

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Individual-level analysis of differential expression of genes and pathways for personalized medicine

Author(s) -

Hongwei Wang,

Qiang Sun,

Wenyuan Zhao,

Lishuang Qi,

Yunyan Gu,

Pengfei Li,

Mengmeng Zhang,

Yang Li,

ShuLin Liu,

Zheng Guo

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu522

Subject(s) - normalization (sociology) , gene , personalized medicine , population , computational biology , biology , computer science , bioinformatics , genetics , medicine , environmental health , sociology , anthropology

The differential expression analysis focusing on inter-group comparison can capture only differentially expressed genes (DE genes) at the population level, which may mask the heterogeneity of differential expression in individuals. Thus, to provide patient-specific information for personalized medicine, it is necessary to conduct differential expression analysis at the individual level.

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