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Qingyi Wei

dblp:81/7069 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics
protein quantification
0.112009
Serial dilution curve: a new method for analysis of reverse phase protein array data · Bioinform. 2009
Bioinformatics and computational biology
proteomics
0.112009
Serial dilution curve: a new method for analysis of reverse phase protein array data · Bioinform. 2009
Bioinformatics and computational biology › proteomics
reverse-phase protein array analysis
0.112009
Serial dilution curve: a new method for analysis of reverse phase protein array data · Bioinform. 2009

Methods — techniques the papers use, named apart from their topics

serial dilution curve · 0.1
YearPublicationVenuePosition
2026 Hierarchical Decomposition-Based Asynchronous Impulsive Consensus of Multi-Agent Systems
Zhengle Zhang, Dahui Luo, Qingyi Wei
IEEE Trans Autom. Sci. Eng.3
2009 Serial dilution curve: a new method for analysis of reverse phase protein array data
abstract
UNLABELLED: Reverse phase protein arrays (RPPAs) are a powerful high-throughput tool for measuring protein concentrations in a large number of samples. In RPPA technology, the original samples are often diluted successively multiple times, forming dilution series to extend the dynamic range of the measurements and to increase confidence in quantitation. An RPPA experiment is equivalent to running multiple ELISA assays concurrently except that there is usually no known protein concentration from which one can construct a standard response curve. Here, we describe a new method called 'serial dilution curve for RPPA data analysis'. Compared with the existing methods, the new method has the advantage of using fewer parameters and offering a simple way of visualizing the raw data. We showed how the method can be used to examine data quality and to obtain robust quantification of protein concentrations. AVAILABILITY: A computer program in R for using serial dilution curve for RPPA data analysis is freely available at http://odin.mdacc.tmc.edu/~zhangli/RPPA.
Qingyi Wei, Gordon B. Mills, Kevin R. Coombes
Bioinform.2