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Yi-Song Liu

dblp:08/6361 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Applied, 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
proteomics		 0.112005
DEPD: a novel database for differentially expressed proteins · Bioinform. 2005
Bioinformatics and computational biology › proteomics
proteome comparison		 0.012005
DEPD: a novel database for differentially expressed proteins · Bioinform. 2005

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

visualization · 0.1functional analysis · 0.1database construction · 0.1
YearPublicationVenuePosition
2005 DEPD: a novel database for differentially expressed proteins
abstract
SUMMARY: The Differentially Expressed Protein Database was designed to store the output of comparative proteomics studies and provides a publicly available query and analysis platform for data mining. The database contains information about more than 3000 differentially expressed proteins (DEPs) manually extracted from the published literature, including relevant biological, experimental and methodological elements. Tools for visualization and functional analysis of DEPs are provided via a user-friendly webinterface. AVAILABILITY: http://protchem.hunnu.edu.cn/depd/.
Quan-Yuan He, Xiang-Hua Liu, Miao-Xin Li, Yi-Song Liu, Jin-Yun Xie, Song-Ping Liang
 Bioinform.5