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  "Title": "consensus Independent Component Analysis",
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  "Description": "consICA implements a data-driven deconvolution method –\nconsensus independent component analysis (ICA) to decompose\nheterogeneous omics data and extract features suitable for\npatient diagnostics and prognostics. The method separates\nbiologically relevant transcriptional signals from technical\neffects and provides information about the cellular composition\nand biological processes. The implementation of parallel\ncomputing in the package ensures efficient analysis of modern\nmulticore systems.",
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