Deduces subpathway functional activity for single samples. sPAGM provides a method that determines subPathway Activity (sPA) scores from the expression levels of genes and miRNAs in corresponding subpathway graphs. It can be used for featuring biological mechanisms at the subpathway level and for detecting and characterizing functional signatures in the prognoses of cancer patient. Besides, the activity score generated by the method can also be applied to other researches, such as drug action mechanisms for various types of tumors.
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
sPAGM funding source(s)
Supported, in part, by the National Program on Key Basic Research Project [973 Program, Grant No. 2014CB910504], the National Natural Science Foundation of China [Grant Nos. 91439117, 61473106, 61603116, and 31501074], the China Postdoctoral Science Foundation [Grant No. 2016M591544], the Postdoctoral Foundation of Heilongjiang Province [Grant No. LBH-Z16123], and the Harbin Medical University Scientific Research Innovation Fund [Grant No. 2016JCZX48].