Table 3.xls (9.5 kB)
Download filePredictive performance of SPIA, GGEA and MinePath on three BrCa/ER datasets utilizing single-relations Rows and columns refer to training and test data, respectively.
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posted on 2016-11-10, 17:57 authored by Lefteris Koumakis, Alexandros Kanterakis, Evgenia Kartsaki, Maria Chatzimina, Michalis Zervakis, Manolis Tsiknakis, Despoina Vassou, Dimitris Kafetzopoulos, Kostas Marias, Vassilis Moustakis, George PotamiasAbbreviations are the same with those used in Table 2; bold figures indicate superior performance.
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Comparison resultsGSApathway sub-pathssingle-relations limitsregulation sub-pathsgene expression sample profilespathway network topologytarget phenotypesMinePath approachpathway analysis methodologiesMolecular Pathways Pathway analysis methodologies coupleRegulation sub-pathsgene expression profilespathway analysis approachespathway visualization functionalityweb-based systempathway analysis methodologydiscriminant profilesgene regulation mechanismsgene expression analysispathway networksgene enrichment characteristicsconstituent sub-pathspathway analysis toolsbiology experimentationphenotype inclinationpathway analysis systems