Hierarchical cancer heterogeneity analysis based on histopathological imaging features is a research paper published in Biometrics (2021). On theSindex it has a DataRank of 0. It has been cited 9 times.
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National Science Foundation
Grant: 1916251
Collaborative Research: Integrating Multi-Dimensional Omics Data for Quantifying Disease Heterogeneity
Natural Science Foundation of Beijing Municipality
Grant: Z190004
National Institutes of Health
Grant: CA241699
National Institutes of Health
Grant: CA196530
National Institutes of Health
Grant: CA204120
National Natural Science Foundation of China
Grant: 12171454
National Natural Science Foundation of China
Grant: 11971404
National Natural Science Foundation of China
Grant: 12026604
National Natural Science Foundation of China
Grant: Basic Scientific Project 71988101
Higher Education Discipline Innovation Project
Grant: B13028
NCI NIH HHS
Grant: R01 CA204120
NCI NIH HHS
Grant: R03 CA241699
Pazhou Lab
Grant: 510320
National Natural Science Foundation of China
Grant: 71988101
NCI NIH HHS
Grant: P50 CA196530
National Institutes of Health
Grant: 1R03CA241699-01
Integrated Cancer Modeling: A New Dimension
National Institutes of Health
Grant: 3P50CA196530-03S1
MicroRNA-based interventions to prevent progression from lung preneoplasia to adenocarcinoma
National Institutes of Health
Grant: 5R01CA204120-03
Novel methods for identifying genetic interactions in cancer prognosis
Yale Cancer Center Pilot Award
Yale Cancer Center Pilot Award
FWCI
0.96
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals