A Framework Integrating Single-Cell Metallomic Data in Health Effect Analysis via Quantile Features and Machine Learning

Journal:
Environmental Science and Technology
Published:
DOI:
10.1021/acs.est.5c14405
Affiliations:
4
Authors:
6
Go to article
Institutions Authors Share
State Key Laboratory of Environmental Chemistry and Ecotoxicology (SKLECE), RCEES CAS, China
3.250000
 0.54
University of Chinese Academy of Sciences (UCAS), China
1.750000
 0.29
SDC China, China
0.750000
 0.13
Jianghan University, China
0.250000
 0.04
Interested in Bioinformatics and Computational Biology?