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These are\ngenerally applicable where a `k-means` clustering yields\nmeaningful results, and have been specifically developed for\nclustering of the Discrete Fourier Transform of periodic gene\nexpression data (`circadian' or `yeast metabolic\noscillations'). This clustering approach is outlined in the\nsupplemental material of Machne & Murray (2012)\n), and here is used as a\nbasis of segment similarity measures. Notably, the time-series\nprocessing and clustering functions can also be used as\nstand-alone tools, independent of segmentation, e.g., for\ntranscriptome data already mapped to genes.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Repository": "https://raim.r-universe.dev", "Date/Publication": "2025-07-17 09:59:52 UTC", "RemoteUrl": "https://github.com/raim/segmentier", "RemoteRef": "HEAD", "RemoteSha": "91505fd75333466c9568b66112b037a7cdd09b73", "RemoteSubdir": "pkg", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-16 08:49:40 UTC", "User": "root" }, "MD5sum": "b20713d3702fd3412a262f60db4c6767", "_user": "raim", "_type": "src", "_file": "segmenTier_0.1.3.tar.gz", "_fileid": "a5a09ab9b9a41cd7696baff633311beb878ccbde0fec6bd5beb0e5a99f6302de", "_filesize": 946732, "_sha256": "a5a09ab9b9a41cd7696baff633311beb878ccbde0fec6bd5beb0e5a99f6302de", "_created": "2026-05-16T08:49:40.000Z", "_published": "2026-06-02T18:09:24.470Z", 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