Skeletonization of neuronal processes using Discrete Morse techniques from computational topology is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.
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.
National Science Foundation
Grant: CCF-1740761
National Science Foundation
Grant: RI-1815697
National Science Foundation
Grant: DMS-1547357
National Science Foundation
Grant: CCF-2112665
National Institutes of Health
Grant: R01-EB022899
National Institutes of Health
Grant: MH114821
National Institutes of Health
Grant: MH114824
National Institutes of Health
Grant: NS121761
National Institutes of Health
Grant: NS132173
National Institutes of Health
Grant: 5R01EB022899-02
"Methods from Computational Topology and Geometry for Analysing Neuronal Tree and Graph Data"
National Science Foundation
Grant: 2112665
AI Institute for Learning-Enabled Optimization at Scale (TILOS)
National Science Foundation
Grant: 1815697
RI: Small: Learning discrete structure from continuous spaces
National Science Foundation
Grant: 1740761
TRIPODS: Topology, Geometry, and Data Analysis (TGDA@OSU):Discovering Structure, Shape, and Dynamics in Data
Mathers Charitable Foundation
Crick-Clay Professorship
Fields of Study
Keywords