Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network is a research paper published in Bioengineering (2025). On theSindex it has a DataRank of 0.
Scored on demand from live citation data
Linked data & code
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.
American Society of Clinical Oncology
Grant: R01 LM013352
American Society of Clinical Oncology
Grant: R01CA256157
American Society of Clinical Oncology
Grant: R01CA249279
American Society of Clinical Oncology
Grant: 1R21CA263950-01A1
American Society of Clinical Oncology
Grant: 1U01FD007857-01
American Society of Clinical Oncology
Grant: HT9425-23-1-0393
NCI NIH HHS
Grant: R21 CA263950
FDA HHS
Grant: U01 FD007857
NIH HHS
Grant: 1R01LM013352-05
FWCI
0.00
Citation Percentile
0.1%
Fields of Study
Keywords
Sustainable Development Goals