{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/single-cell-entropy-to-quantify-the-cellular","title":"Single-cell entropy to quantify the cellular transcription from single-cell RNA-seq data","arxiv_id":"2002.06391","date":"2020-02-15","proceeding":null,"authors":[],"abstract":"We present the use of single-cell entropy (scEntropy) to measure the order of\nthe cellular transcriptome profile from single-cell RNA-seq data, which leads\nto a method of unsupervised cell type classification through scEntropy followed\nby the Gaussian mixture model (scEGMM). scEntropy is straightforward in\ndefining an intrinsic transcriptional state of a cell. scEGMM is a coherent\nmethod of cell type classification that includes no parameters and no\nclustering; however, it is comparable to existing machine learning-based\nmethods in benchmarking studies and facilitates biological interpretation.","url_abs":"http://arxiv.org/abs/2002.06391v1","url_pdf":"http://arxiv.org/pdf/2002.06391v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"single-cell-entropy-to-quantify-the-cellular","repo_url":"https://github.com/jzlei/scEntropy","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"clustering","task_name":"Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}