SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data is a research paper published in Frontiers in Genetics (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
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National Institutes of Health
Grant: R01CA244845-01A1 R01DA048993 P30 CA46592 R01MH105561 R01GM124061
National Cancer Institute
Grant: 5 P30 CA046592 R37-CA214955 5T32CA083654-18
American Cancer Society
Grant: RSG-16-005-01
Division of Mathematical Sciences
Grant: 1463233
Collaborative Research: New Bayesian Nonparametric Paradigms of Personalized Medicine for Lung Cancer
Division of Information and Intelligent Systems
Grant: 2123777
SCH: New Statistical Learning Methods for Brain-Computer Interfaces
NCI NIH HHS
Grant: P30 CA046592
NCI NIH HHS
Grant: T32 CA083654
NCI NIH HHS
Grant: R01 CA244845
National Institutes of Health
Grant: 3P30CA046592-31S7
Cancer Center Support Grant 2018-2023
National Institutes of Health
Grant: 5R01GM124061-03
Bayesian Network Biomarker Selection in Metabolomics Data
National Institutes of Health
Grant: 5R37CA214955-08
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas
National Institutes of Health
Grant: 1R01DA048993-01A1
Scalable Bayesian methods for big imaging data analysis
National Institutes of Health
Grant: 5R01CA244845-02
Bayesian Network-Based Integrative Genomics Methods for Precision Medicine
National Institutes of Health
Grant: 5R01MH105561-08
Statistical ICA Methods for Analysis and Integration of Multi-dimensional Data
National Institutes of Health
Grant: 5T32CA083654-18
Biostatistics Training in Cancer Research
Michigan Institute for Data Science, University of Michigan
Rogel Cancer Center, University of Michigan
University of Michigan
Agilent Technologies
FWCI
0.55
Citation Percentile
0.6%
Citation Trend
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