Sample Selection for Network Analyses

through deep integrated network analysis (dina), framework integrating comprehensive data sources, researchers can gain deeper insights into complex biological systems in a fully data driven manner for this, dina networks representing specific biological contexts were constructed by integration of all samples representative of the given context i e curating substrings queried against the full set of raw metadata (see substring matching and category assignment docid 2hb0fx1wwpcxee noahm for details) all samples containing the queried substrings were automatically included in the corresponding analysis this approach allowed efficient retrieval of relevant samples and ensured that inclusion criteria were directly traceable to metadata based rules