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Shiyue Zhou

dblp:131/9782 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0008-3352-1183ORCID · corroborated

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

Security and privacy · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
glycomics
0.212013
Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry · Bioinform. 2013
Bioinformatics and computational biology
liquid chromatography-mass spectrometry
0.012013
Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry · Bioinform. 2013

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

mass spectrometry profiling · 0.2
YearPublicationVenuePosition
2025 Blockchain-based secure and fair data trading mechanism for healthcare
Kuan Fan, Shiyue Zhou, Ning Lu 0005
J. Inf. Secur. Appl.3
2013 Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry
abstract
UNLABELLED: As a common post-translational modification, protein glycosylation plays an important role in many biological processes, and it is known to be associated with human diseases. Mass spectrometry (MS)-based glycomic profiling techniques have been developed to measure the abundances of glycans in complex biological samples and applied to the discovery of putative glycan biomarkers. To automate the annotation of glycomic profiles in the liquid chromatography-MS (LC-MS) data, we present here a user-friendly software tool, MultiGlycan, implemented in C# on Windows systems. We tested MultiGlycan by using several glycomic profiling datasets acquired using LC-MS under different preparations and show that MultiGlycan executes fast and generates robust and reliable results. AVAILABILITY: MultiGlycan can be freely downloaded at http://darwin.informatics.indiana.edu/MultiGlycan/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Chuan-Yih Yu, Anoop M. Mayampurath, Yunli Hu, Shiyue Zhou, Yehia Mechref, Haixu Tang
Bioinform.4