PMC:4573573 / 27316-28132 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4573573","sourcedb":"PMC","sourceid":"4573573","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4573573","text":"4. Conclusions\nThis work proposes a pipeline analysis based on optimization to facilitate the discovery of genetic signaling paths related to cancer and also could provide information about expanded chromosomal regions that are compromised for cases to be studied. In this instance, the method was applied to cervix cancer. The potential of the proposed method is significant if the detection of a biological pathway is understood as a combinatorial problem similar to the Traveling Salesman Problem, for which an optimal solution exists. If positively verified, this point of view could also imply that current biological pathways might have room for improvement to fully capture the signal in microarray experiments, and thus open the possibility of further discovery in the understanding—and fight—against cancer.","divisions":[{"label":"Title","span":{"begin":0,"end":14}}],"tracks":[]}