{
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  "Title": "Using singscore to predict mutations in AML from transcriptomic\nsignatures",
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  "Description": "This workflow package shows how transcriptomic signatures\ncan be used to infer phenotypes. The workflow begins by showing\nhow the TCGA AML transcriptomic data can be downloaded and\nprocessed using the TCGAbiolinks packages. It then shows how\nsamples can be scored using the singscore package and\nsignatures from the MSigDB. Finally, the predictive capacity of\nscores in the context of predicting a specific mutation in AML\nis shown.The workflow exhibits the interplay of Bioconductor\npackages to achieve a gene-set level analysis.",
  "License": "Artistic-2.0",
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  "Date/Publication": "2026-04-28 12:43:31 UTC",
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  "Author": "Dharmesh D. Bhuva [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6398-9157>),\nMomeneh Foroutan [aut] (ORCID: <https://orcid.org/0000-0002-1440-0457>),\nYi Xie [aut] (ORCID: <https://orcid.org/0000-0002-1938-4089>),\nRuqian Lyu [aut],\nMalvika Kharbanda [aut] (ORCID:\n<https://orcid.org/0000-0001-9726-3023>),\nJoseph Cursons [aut] (ORCID: <https://orcid.org/0000-0002-5053-4540>),\nMelissa J. Davis [aut] (ORCID: <https://orcid.org/0000-0003-4864-7033>)",
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  "_expires": "2027-01-12T17:25:26.000Z",
  "_created": "2026-10-04T17:16:31.000Z",
  "_published": "2026-10-07T14:20:24.523Z",
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