Open AccessIntegrating systemic module inference with attract method excavates attractor modules for cyclophosphamide contributing to prostate cancer
Author(s) -
Guodong Sun,
Wenjing Zhang,
Jing Wang
Publication year - 2019
Publication title -
journal of cancer research and therapeutics/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 - 10.4103/0973-1482.193118
Subject(s) - attractor , gene , computational biology , inference , prostate cancer , topology (electrical circuits) , cancer , biology , computer science , algorithm , mathematics , genetics , combinatorics , artificial intelligence , mathematical analysis
The complete molecular mechanism that cyclophosphamide (CPA) induces the cell death is still unknown. To further reveal the mechanism of CPA contributing to prostate cancer, we conducted analysis on gene expression profile of E-GEOD-42913 to identify attractor modules by integrating systemic module inference with attract method.