A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2016). On theSindex it has a DataRank of 0.204. It has been cited 2 times, with 2 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — 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 — never from an abstract alone.
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0.0396
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
National Institutes of Health
Grant: 5R01NS095411-04
Targeting Tumors with NF1 Loss
National Institutes of Health
Grant: 3P30CA023108-41S8
Cancer Center Support Grant
National Institutes of Health
Grant: 5UL1TR001086-03
SYNERGY: The Dartmouth Center for clinical and Translational Science
National Institutes of Health
Grant: 3P30CA023108-38S2
Cancer Center Support Grant
Fields of Study
Keywords
Sustainable Development Goals