| Accession |
PRJCA016059 |
| Title |
Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics |
| Relevance |
Medical |
| Data types |
Transcriptome or Gene expression
|
| Organisms |
Homo sapiens
|
| Description |
We developed a Bayesian framework called Pianno, designed specifically for the automated annotation of biological identities in spatial transcriptomics. To assess Pianno's effectiveness, we applied it to the spatial transcriptome data generated in this study, showcasing its ability to precisely annotate patterns covering both anatomical structures and cell types using only a limited number of marker genes. |
| Sample scope |
Spatial transcriptome |
| Release date |
2023-09-26 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
|
82071259
|
|
| STI2030-Major Projects
|
|
2021ZD0200100
|
|
| The Shanghai Municipal Science and Technology Major Project
|
|
2018SHZDZX01
|
|
|
|
| Submitter |
Ying
Zhu (ying_zhu@fudan.edu.cn)
|
| Organization |
Fudan University |
| Submission date |
2023-02-04 |
