{ "_id": "6aeb2bc01e2c7b3a4f534e81", "Package": "conos", "Title": "Clustering on Network of Samples", "Version": "1.5.4", "Authors@R": "c(person(\"Viktor\",\"Petukhov\", email=\"viktor.s.petuhov@ya.ru\", role=\"aut\"), person(\"Nikolas\",\"Barkas\", email=\"nikolas_barkas@hms.harvard.edu\", role=\"aut\"), person(\"Peter\", \"Kharchenko\", email = \"peter_kharchenko@hms.harvard.edu\", role = \"aut\"), person(\"Weiliang\", \"Qiu\", email = \"weiliang.qiu@gmail.com\", role = c(\"ctb\")), person(\"Evan\", \"Biederstedt\", email=\"evan.biederstedt@gmail.com\", role=c(\"aut\", \"cre\")))", "Description": "Wires together large collections of single-cell RNA-seq\ndatasets, which allows for both the identification of recurrent\ncell clusters and the propagation of information between\ndatasets in multi-sample or atlas-scale collections. 'Conos'\nfocuses on the uniform mapping of homologous cell types across\nheterogeneous sample collections. For instance, users could\ninvestigate a collection of dozens of peripheral blood samples\nfrom cancer patients combined with dozens of controls, which\nperhaps includes samples of a related tissue such as lymph\nnodes. This package interacts with data available through the\n'conosPanel' package, which is available in a 'drat'\nrepository. To access this data package, see the instructions\nat . 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