Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments is a research paper published in Frontiers in Cell and Developmental Biology (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
Division of Molecular and Cellular Biosciences
Grant: 1941870
CAREER: Stochastic Analyses to Optimize Designs for Single-Cell Optical Microscopy Experiments
National Science Foundation
Grant: 1845761
CAREER: Multicolor imaging of single mRNA translational heterogeneity in living cells
National Institutes of Health
Grant: 5R35GM124747-03
Using cellular fluctuations and computational analyses to probe biological mechanisms
NIGMS NIH HHS
Grant: R35 GM124747
FWCI
0.28
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals