{ "_id": "6adf0429ad2d4c5eb63d305a", "Package": "DepInfeR", "Type": "Package", "Title": "Inferring tumor-specific cancer dependencies through integrating\nex-vivo drug response assays and drug-protein profiling", "Version": "1.17.0", "Authors@R": "c(person(given = \"Junyan\",\nfamily = \"Lu\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jylu1118@gmail.com\",\ncomment = c(ORCID = \"0000-0002-9211-0746\")),\nperson(given = \"Alina\",\nfamily = \"Batzilla\",\nrole = c(\"aut\")))", "Description": "DepInfeR integrates two experimentally accessible input\ndata matrices: the drug sensitivity profiles of cancer cell\nlines or primary tumors ex-vivo (X), and the drug affinities of\na set of proteins (Y), to infer a matrix of molecular protein\ndependencies of the cancers (ß). DepInfeR deconvolutes the\nprotein inhibition effect on the viability phenotype by using\nregularized multivariate linear regression. It assigns a\n“dependence coefficient” to each protein and each sample, and\ntherefore could be used to gain a causal and accurate\nunderstanding of functional consequences of genomic aberrations\nin a heterogeneous disease, as well as to guide the choice of\npharmacological intervention for a specific cancer type,\nsub-type, or an individual patient. 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