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Sheng-Jian Xiao

dblp:57/8091 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
gene expression database
0.112010
TiSGeD: a database for tissue-specific genes · Bioinform. 2010

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

statistical methods · 0.1
YearPublicationVenuePosition
2010 TiSGeD: a database for tissue-specific genes
abstract
UNLABELLED: The tissue-specific genes are a group of genes whose function and expression are preferred in one or several tissues/cell types. Identification of these genes helps better understanding of tissue-gene relationship, etiology and discovery of novel tissue-specific drug targets. In this study, a statistical method is introduced to detect tissue-specific genes from more than 123 125 gene expression profiles over 107 human tissues, 67 mouse tissues and 30 rat tissues. As a result, a novel subject-specialized repository, namely the tissue-specific genes database (TiSGeD), is developed to represent the analyzed results. Auxiliary information of tissue-specific genes was also collected from biomedical literatures. AVAILABILITY: http://bioinf.xmu.edu.cn/databases/TiSGeD/index.html.
Sheng-Jian Xiao, Quan Zou 0001, Zhi-Liang Ji
Bioinform.1