GSTRPCA: irregular tensor singular value decomposition for single-cell multi-omics data clustering
Lubin Cui, Guiliang Guo, Michael K Ng, Quan Zou, Yushan Qiu · 2024
Read GSTRPCA: irregular tensor singular value decomposition for single-cell multi-omics data clustering by Lubin Cui, Guiliang Guo, Michael K Ng, Quan Zou, Yushan Qiu (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11647523.txt.
Description
Single-cell multi-omics refers to the various types of biological data at the single-cell level. These data have enabled insight and resolution to cellular phenotypes, biological processes, and developmental stages. Current advances hold high potential for breakthroughs by integrating multiple different omics layers. However, singlecell multi-omics data usually have different feature dimensions and direct or indirect relationships.
Catalog record
| CREATOR | Lubin Cui, Guiliang Guo, Michael K Ng, Quan Zou, Yushan Qiu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |