Highly multiplexed spatial profiling with CODEX: bioinformatic analysis and application in human disease is a research paper published in Seminars in Immunopathology (2022). On theSindex it has a DataRank of 0. It has been cited 57 times.
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National Cancer Institute
Grant: K99CA267171
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Grant: L30AR079827
School of Medicine, Stanford University
Grant: the Stanford Translational Research
School of Medicine, Stanford University
Grant: Applied Medicine grant
Stanford Cancer Institute
Grant: Stanford Cancer Institute (SCI) Innovation Award
NCI NIH HHS
Grant: R00 CA267171
NCI NIH HHS
Grant: P30 CA124435
National Institutes of Health
Grant: 5K99CA267171-02
Integrating Spatial Omics and Drug Imaging to Dissect the Role of Pancreatic Tumor Microenvironment in Drug Resistance
Rheumatology Research Foundation
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 4 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 3 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 4 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 2 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 3 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 1 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
Additional file 2 of Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging