cellOrigins
Finds RNASeq Source Tissues Using In Situ Hybridisation Data
Finds the most likely originating tissue(s) and developmental stage(s) of tissue-specific RNA sequencing data. The package identifies both pure transcriptomes and mixtures of transcriptomes. The most likely identity is found through comparisons of the sequencing data with high-throughput in situ hybridisation patterns. Typical uses are the identification of cancer cell origins, validation of cell culture strain identities, validation of single-cell transcriptomes, and validation of identity and purity of flow-sorting and dissection sequencing products.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | cellOrigins_0.1.3.tar.gz |
370.8 KiB |
0.1.3 |
rolling linux/noble R-4.5 | cellOrigins_0.1.3.tar.gz |
370.8 KiB |
0.1.3 |
rolling source/ R- | cellOrigins_0.1.3.tar.gz |
316.5 KiB |
0.1.3 |
latest linux/jammy R-4.5 | cellOrigins_0.1.3.tar.gz |
370.8 KiB |
0.1.3 |
latest linux/noble R-4.5 | cellOrigins_0.1.3.tar.gz |
370.8 KiB |
0.1.3 |
latest source/ R- | cellOrigins_0.1.3.tar.gz |
316.5 KiB |
0.1.3 |
2026-04-26 source/ R- | cellOrigins_0.1.3.tar.gz |
316.5 KiB |
0.1.3 |
2026-04-23 source/ R- | cellOrigins_0.1.3.tar.gz |
316.5 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | cellOrigins_0.1.3.zip |
368.2 KiB |
0.1.3 |
2025-04-20 source/ R- | cellOrigins_0.1.3.tar.gz |
316.5 KiB |