of a Cancer Predictor Gene Set z m X i~1 ) R z1, m. In other words, employing strict cutoff usage in gene expression data involves difficulties in uncovering signal cascading flows because some entries within the signal cascading flows could be missed under that cutoff. In contrast, Fnode does not filter 
out low differential expression with an arbitrary condition because the pvalues of all the entries within the well-defined subpathway are considered. n its corresponding sink node activity is expected to be highly dysregulated, which indicates a rare event. Therefore, Fedge follows, by nature, the first-order Markov chain property in which a current event depends only on its predecessor because we assume that Gn2i is only regulated by its direct upstream source node Gn2 of edge en2i. In n{1 Fedge: Pr P Pr ), i~1 where n is the number of nodes in the well-defined subpathway. To determine the joint distribution of the pair, log2 ), we extracted all the edges from the KEGG XML files and obtained the source nodes and their corresponding sink nodes from the edges. The log2-transformed fold-changes, log2fn2i)) of the cancer group over the control group for the pair source node and sink node were obtained from the microarrays. log2 ! Pathways in cancer. Red boxes are activated in the CRC patients over the healthy controls. Green boxes are down-regulated in the CRC patients. MAPK signaling pathway. Red boxes are activated in the CRC patients over the healthy controls. Green boxes are down-regulated in the CRC patients. Wnt signaling pathway. Red boxes are activated in the CRC patients over the healthy controls. Green boxes are down-regulated in the CRC patients. S6 Neutrophin signaling pathway. Red boxes are activated in the CRC patients over the healthy controls. Green boxes are down-regulated in the CRC patients. Acknowledgments SN thanks Drs. Sanghyuk Lee at Ewha Womans Univ. and Beom Gyu Choi at National Cancer Center, and M.D. So Youn Jung at National Cancer Center for helpful discussion. Authors also thank anonymous reviewers for their insightful critiques. The input item options used in ~~ Apically-secreting epithelial cells of the lacrimal gland are organized around lumina continuous with tear ducts which drain contents on to the ocular surface. Inside these lacrimal gland acinar cells, vital tear fluid and proteins, SB-705498 web 22189475″ title=View Abstract(s)”>PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/22189475 including antibacterial and antiviral factors like secretory IgA and proteases, as well as mitogenic proteins such as lacritin and EGF, are packaged into secretory vesicles. Intracellular transport of these SV involves three main steps: vesicle formation, maturation, and fusion with the apical plasma membrane. In secretory epithelial cells, SV maturation is marked by changes in SV size, SV density and content, and the recruitment of proteins, such as Rab3D, to the surface of the SV membrane. Secretory epithelial cells respond to specific agonists which accelerate the final fusion of mature SV with the apical membrane, causing the release of SV contents into the lumen. Studies in acinar cells have described the accumulation of mature SV in the subapical region of the cells in preparation for this fusion event, which likely occurs in conjunction with homotypic fusion and in parallel with membrane recycling. While many questions remain regarding the mechanisms that must take place for SV maturation and fusion, SV formation and their early transport from the site of origin is even less wellunderstood. Classical studies of trans
