https://github.com/wmacnair/psupertime

psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels
https://github.com/wmacnair/psupertime

Last synced: 23 days ago
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psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels

• Host: GitHub
• URL: https://github.com/wmacnair/psupertime
• Owner: wmacnair
• License: gpl-3.0
• Created: 2019-04-08T09:59:45.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-07-20T08:18:34.000Z (almost 2 years ago)
• Last Synced: 2024-03-15T19:22:09.287Z (4 months ago)
• Language: R
• Size: 1.94 MB
• Stars: 33
• Watchers: 4
• Forks: 13
• Open Issues: 13

Lists

• awesome_single_cell - psupertime - [R] - psupertime is an R package which uses single cell RNAseq data, where the cells have labels following a known sequence (e.g. a time series), to identify a small number of genes which place cells in that known order. It can be used for discovery of relevant genes, for exploration of unlabelled data, and assessment of one dataset with respect to the labels known for another dataset. - [preprint](https://www.biorxiv.org/content/10.1101/622001v1) (Software packages / RNA-seq)
• awesome-single-cell - psupertime - [R] - psupertime is an R package which uses single cell RNAseq data, where the cells have labels following a known sequence (e.g. a time series), to identify a small number of genes which place cells in that known order. It can be used for discovery of relevant genes, for exploration of unlabelled data, and assessment of one dataset with respect to the labels known for another dataset. - [preprint](https://www.biorxiv.org/content/10.1101/622001v1) (Software packages / Pseudotime and trajectory inference)
• awesome-single-cell - psupertime - [R] - psupertime is an R package which uses single cell RNAseq data, where the cells have labels following a known sequence (e.g. a time series), to identify a small number of genes which place cells in that known order. It can be used for discovery of relevant genes, for exploration of unlabelled data, and assessment of one dataset with respect to the labels known for another dataset. - [preprint](https://www.biorxiv.org/content/10.1101/622001v1) (Software packages / RNA-seq)