Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning.
Saved in:
| Title: | Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning. |
|---|---|
| Authors: | Brintz BJ; University of Utah Department of Internal Medicine, Salt Lake City, Utah, USA., Operario DJ; University of Virginia, Charlottesville, Virginia, USA., Brown DG; University of Utah Department of Internal Medicine, Salt Lake City, Utah, USA., Wu S; Qingdao University School of Public Healh, Qingdao, Shandong, China., Wang L; Qingdao University School of Public Healh, Qingdao, Shandong, China., Houpt ER; University of Virginia, Charlottesville, Virginia, USA., Leung DT; University of Utah Department of Internal Medicine, Salt Lake City, Utah, USA., Liu J; University of Virginia, Charlottesville, Virginia, USA.; Qingdao University School of Public Healh, Qingdao, Shandong, China., Platts-Mills JA; University of Virginia, Charlottesville, Virginia, USA. |
| Source: | Gates open research [Gates Open Res] 2025 Jan 20; Vol. 9, pp. 1. Date of Electronic Publication: 2025 Jan 20 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Bill and Melinda Gates Foundation Country of Publication: United States NLM ID: 101717821 Publication Model: eCollection Cited Medium: Internet ISSN: 2572-4754 (Electronic) Linking ISSN: 25724754 NLM ISO Abbreviation: Gates Open Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2572-4754 |
|---|---|
| DOI: | 10.12688/gatesopenres.16313.1 |
