Evaluation of machine learning models for proteoform retention and migration time prediction in top-down mass spectrometry is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
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Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5R01GM118470-07
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWNDATA INDEPENDENT ACQUISITION MASS SPECTROMETRY
National Institutes of Health
Grant: 5R01CA247863-03
Quantitative top-down proteomics of human colorectal cancer cells and tumors
National Institutes of Health
Grant: 3R01GM125991-03S1
Administrative supplement to existing NIH R01 Quantitative proteomics of Zebrafish embryos and blastomeres
Fields of Study
Keywords
Sustainable Development Goals