Sparse inverse covariance estimation with the graphical lasso is a research paper published in Biostatistics (2007). On theSindex it has a DataRank of 1.3. It has been cited 6,489 times.
Scored on demand from live citation data
Linked data & code
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
1.3
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 →NIBIB NIH HHS
Grant: R01 EB001988
NCI NIH HHS
Grant: 2R01 CA 72028-07
NHLBI NIH HHS
Grant: N01-HV-28183
MeSH Terms
Regularized Empirical Variance-Covariance-Matrices for stochastic gravity modeling of 8 major ocean tides
Additional file 1 of Identification of microbial interaction network: zero-inflated latent Ising model based approach
Additional file 1 of Identification of microbial interaction network: zero-inflated latent Ising model based approach
Additional file 1 of Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm
Additional file 1 of Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm
Additional file 2 of Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm
Additional file 2 of Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm
Additional file 1 of Compositional zero-inflated network estimation for microbiome data
Additional file 1 of Compositional zero-inflated network estimation for microbiome data
Additional file 1 of Bacterial community structure alterations within the colorectal cancer gut microbiome
Additional file 1 of Bacterial community structure alterations within the colorectal cancer gut microbiome
Additional file 1 of Network structure of depression and anxiety symptoms in Chinese female nursing students
Additional file 1 of Network structure of depression and anxiety symptoms in Chinese female nursing students
Additional file 2 of Exploring the functional composition of the human microbiome using a hand-curated microbial trait database
Additional file 2 of Exploring the functional composition of the human microbiome using a hand-curated microbial trait database
Additional file 2 of Exploring the functional composition of the human microbiome using a hand-curated microbial trait database
Additional file 1 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
Additional file 1 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
Additional file 2 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
Additional file 2 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality