A differential expression network method identifies ankylosing spondylitis-related genes

Gao, Peng-ji; Fu, Shubin; Liu, Yun; Zi, Xin

doi:10.4103/0973-1482.188294

Journal of Cancer Research and Therapeutics

2018

DOI: 10.4103/0973-1482.188294

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A differential expression network method identifies ankylosing spondylitis-related genes

Peng-ji Gao¹,

Shubin Fu²,

Yun Liu³

et al.

Abstract: Compared to the traditional differential genes methods, DEN is a more useful and comprehensive method to conduct on the AS. We predict that these genes (such as EP300 and SHFM1) could be chosen as novel predictive markers for AS.

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A differential expression network method identifies ankylosing spondylitis-related genes

Abstract: Compared to the traditional differential genes methods, DEN is a more useful and comprehensive method to conduct on the AS. We predict that these genes (such as EP300 and SHFM1) could be chosen as novel predictive markers for AS.

Cited by 0 publications

References 38 publications

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