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  "Title": "An R package for quantitative integration and analysis of\nmultiple omics assays from heterogeneous samples",
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  "Date": "24/07/2025",
  "Author": "Subhadeep Das [aut, cre], Dr. Sucheta Tripathy [ctb]",
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  "Description": "OMICsPCA is an analysis pipeline designed to integrate\nmulti OMICs experiments done on various subjects (e.g. Cell\nlines, individuals), treatments (e.g. disease/control) or time\npoints and to analyse such integrated data from various various\nangles and perspectives. In it's core OMICsPCA uses Principal\nComponent Analysis (PCA) to integrate multiomics experiments\nfrom various sources and thus has ability to over data\ninsufficiency issues by using the ingegrated data as\nrepresentatives. OMICsPCA can be used in various application\nincluding analysis of overall distribution of OMICs assays\nacross various samples /individuals /time points; grouping\nassays by user-defined conditions; identification of source of\nvariation, similarity/dissimilarity between assays, variables\nor individuals.",
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