Computational Approach to Identifying Universal Macrophage Biomarkers.
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| Title: | Computational Approach to Identifying Universal Macrophage Biomarkers. |
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| Authors: | Dang D; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, United States.; Department of Pediatrics, University of California, San Diego, San Diego, CA, United States., Taheri S; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, United States., Das S; Department of Pathology, University of California, San Diego, San Diego, CA, United States., Ghosh P; Departments of Medicine and Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, United States.; Moores Cancer Center, San Diego, CA, United States., Prince LS; Department of Pediatrics, University of California, San Diego, San Diego, CA, United States.; Rady Children's Hospital, San Diego, CA, United States., Sahoo D; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, United States.; Department of Pediatrics, University of California, San Diego, San Diego, CA, United States.; Moores Cancer Center, San Diego, CA, United States. |
| Source: | Frontiers in physiology [Front Physiol] 2020 Apr 08; Vol. 11, pp. 275. Date of Electronic Publication: 2020 Apr 08 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-042X |
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| DOI: | 10.3389/fphys.2020.00275 |
