A density-watershed algorithm (DWA) method for robust, accurate and automatic classification of dual-fluorescence and four-cluster droplet digital PCR data-Reference-Cited by-同舟云学术

A density-watershed algorithm (DWA) method for robust, accurate and automatic classification of dual-fluorescence and four-cluster droplet digital PCR data

Published:2019 Issue:16 Volume:144 Page:4757-4771
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Zhu Xiurui¹²³⁴⁵,Su Shisheng¹²³⁴⁵,Fu Mingzhu¹²³⁴⁵,Peng Zhiyong⁶⁴⁵,Wang Dong⁶⁴⁵,Rui Xiao⁶⁴⁵,Wang Fang¹²³⁴⁵,Liu Xiaobin⁶⁴⁵,Liu Baoxia⁶⁴⁵,Zhu Lingxiang¹²³⁴⁵^ORCID,Yang Wenjun¹²³⁴⁵,Gao Na⁶⁴⁵,Huang Guoliang¹²³⁴⁵,Jing Gaoshan⁷⁸³⁴⁵,Guo Yong¹²³⁴⁵^ORCID

Affiliation:

1. Department of Biomedical Engineering

2. School of Medicine

3. Tsinghua University

4. Beijing

5. China

6. TargetingOne Corporation

7. Department of Precision Instrument

8. School of Mechanical Engineering

Abstract

This paper reports a novel density-watershed algorithm (DWA) method for accurate, automatic and unsupervised classification of droplet digital PCR data, derived from both plasmids and clinical DNA samples.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/AN/C9AN00637K

Reference52 articles.

1. High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number

2. Absolute quantification of cell-free microRNAs in cancer patients

3. High Sensitivity Detection and Quantitation of DNA Copy Number and Single Nucleotide Variants with Single Color Droplet Digital PCR