Work

tissue deconvolution data

Year: 2022

Type: dataset

Abstract: tissue deconvolution data train: training data test: validation data (for training) valid: technical validation data cancerradar: plasma validation data method_bin: binarized data (tissue read count > 0, value = 1; tissue read count == 0, value = 0) method_global: global normalization data (tissue read count/total read count * 1 billion) method_local: local normalization data (tissue read count/marker read count) trainset_normalized: value normalized by the trainset. The normalization is to convert the trainset value between 0 and 1.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.6780830

Author: Li, Shuo

Institution: University of California, Los Angeles

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4393510637

Cites:

Cited by:

Related to: 10