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A knowledge-based T2-statistic to perform pathway analysis for quantitative proteomic data
2017
PLoS Computational Biology
Approaches to identify significant pathways from high-throughput quantitative data have been developed in recent years. Still, the analysis of proteomic data stays difficult because of limited sample size. This limitation also leads to the practice of using a competitive null as common approach; which fundamentally implies genes or proteins as independent units. The independent assumption ignores the associations among biomolecules with similar functions or cellular localization, as well as the
doi:10.1371/journal.pcbi.1005601
pmid:28622336
pmcid:PMC5493430
fatcat:j2s2cdm55zdkrhqg5curnewyv4