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HRA004425
   HRA004425.xlsx
Title:
Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics
Release date:
2023-04-25
Description:
We have created a Bayesian framework named Pianno, specifically developed for the automated annotation of biological identities in spatial transcriptomics. To validate the effectiveness of Pianno, we utilized spatial transcriptome data generated in this study, demonstrating its capability to accurately annotate patterns encompassing both anatomical structures and cell types with only a few marker genes.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA016059
Study type:
Transcriptome and epigenome
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
HDAC002470
DAC name:
Ying
Contact person:
Zhu Ying
Email:
ying_zhu@fudan.edu.cn
Description:
Spatial transcriptomie and single-nucleus multiome analysis on human neocortex
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Submitter:   Zhu Ying / ying_zhu@fudan.edu.cn
Organization:   Fudan University
Submission date:   2023-04-04
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