{ "_id": "6a49999a4ae8ee07ee132bc0", "Encoding": "UTF-8", "Type": "Package", "Package": "peco", "Version": "1.25.0", "Title": "A Supervised Approach for **P**r**e**dicting **c**ell Cycle\nPr**o**gression using scRNA-seq data", "Authors@R": "c(\nperson(\"Chiaowen Joyce\",\"Hsiao\", email=\"joyce.hsiao1@gmail.com\",\nrole=c(\"aut\",\"cre\")),\nperson(\"Matthew\", \"Stephens\", email=\"stephens999@gmail.com\", role=\"aut\"),\nperson(\"John\", \"Blischak\", email = \"jdblischak@gmail.com\", role=\"ctb\"),\nperson(\"Peter\", \"Carbonetto\", email = \"peter.carbonetto@gmail.com\",\nrole=\"ctb\"))", "Description": "Our approach provides a way to assign continuous cell\ncycle phase using scRNA-seq data, and consequently, allows to\nidentify cyclic trend of gene expression levels along the cell\ncycle. This package provides method and training data, which\nincludes scRNA-seq data collected from 6 individual cell lines\nof induced pluripotent stem cells (iPSCs), and also continuous\ncell cycle phase derived from FUCCI fluorescence imaging data.", "URL": "https://github.com/jhsiao999/peco", "BugReports": "https://github.com/jhsiao999/peco/issues", "License": "GPL (>= 3)", "biocViews": "Sequencing, RNASeq, GeneExpression, Transcriptomics,\nSingleCell, Software, StatisticalMethod, Classification,\nVisualization", "VignetteBuilder": "knitr", "RoxygenNote": "6.1.1", "Config/pak/sysreqs": "libglpk-dev libxml2-dev zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:52:16 UTC", "RemoteUrl": "https://github.com/bioc/peco", "RemoteRef": "HEAD", "RemoteSha": "c4a5054710a13ccc1483beb7d822310e062487e4", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 23:28:24 UTC", "User": "root" }, "Author": "Chiaowen Joyce Hsiao [aut, cre],\nMatthew Stephens 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