Machine learning algorithm improved automated droplet classification of ddPCR for detection of BRAF V600E in paraffin-embedded samples
Abstract Somatic mutations in cancer driver genes can help diagnosis, prognosis and treatment decisions. Formalin-fixed paraffin-embedded (FFPE) specimen is the main source of DNA for somatic mutation detection. To overcome constraints of DNA isolated from FFPE, we compared pyrosequencing and ddPCR...
Saved in:
Main Authors: | Gabriel A. Colozza-Gama, Fabiano Callegari, Nikola Bešič, Ana C. de J. Paviza, Janete M. Cerutti |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/55aa917f941f45fd82d24a098048504b |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Author Correction: Machine learning algorithm improved automated droplet classification of ddPCR for detection of BRAF V600E in paraffin-embedded samples
by: Gabriel A. Colozza-Gama, et al.
Published: (2021) -
Standardization of the liquid biopsy for pediatric diffuse midline glioma using ddPCR
by: Daphne Li, et al.
Published: (2021) -
Qualitative and quantitative detection of surgical pathogenic microorganisms Escherichia coli and Staphylococcus aureus based on ddPCR system
by: Tiantian Zhang, et al.
Published: (2021) -
Accurate detection and quantification of seasonal abundance of American bullfrog (Lithobates catesbeianus) using ddPCR eDNA assays
by: Teun Everts, et al.
Published: (2021) -
Stringent Base Specific and Optimization-Free Multiplex Mediator Probe ddPCR for the Quantification of Point Mutations in Circulating Tumor DNA
by: Franziska Schlenker, et al.
Published: (2021)