Bayesian modeling of spatial molecular profiling data via Gaussian process is a research paper published in Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 71 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.
National Institutes of Health
Grant: R35GM136375
National Institutes of Health
Grant: P30CA142543
National Institutes of Health
Grant: 1R01GM140012
National Institutes of Health
Grant: P50CA70907
National Institutes of Health
Grant: 1R01GM115473
Cancer Prevention and Research Institute of Texas
Grant: RP190107
Cancer Prevention and Research Institute of Texas
Grant: RP180805
National Institutes of Health
Grant: 3P50CA070907-02S1
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCER
National Institutes of Health
Grant: 5R01GM115473-04
Integrative Analysis to Identify Regulation Targets of RNA-Binding Proteins
National Institutes of Health
Grant: 5R01CA152301-02
Predicting Adjuvant Chemotherapy Response in Lung Cancer
National Institutes of Health
Grant: 1R35GM136375-01
Novel computational approaches to predict drug response and combination effects
FWCI
5.03
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals