Evidence map›Paper›PMID 31114875›Full record

ArticleNucleic acids research2019

GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis.

Zefang Tang, Boxi Kang, Chenwei Li, Tianxiang Chen, Zemin Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3,312 papers.

0numbers the graph read from it
0cells of the map it votes in
3,312citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3,312 citing papers in PubMed.

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  11. AXL is associated with STAT3 activation in breast cancer.Molecular and clinical oncology · 2026
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3,252 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zefang TangSchool of Life Sciences and BIOPIC, Peking University, Beijing 100871, China.
Boxi KangSchool of Life Sciences and BIOPIC, Peking University, Beijing 100871, China.
Chenwei LiPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
Tianxiang ChenSchool of Life Sciences and BIOPIC, Peking University, Beijing 100871, China.
Zemin ZhangSchool of Life Sciences and BIOPIC, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduced in 2017, the GEPIA (Gene Expression Profiling Interactive Analysis) web server has been a valuable and highly cited resource for gene expression analysis based on tumor and normal samples from the TCGA and the GTEx databases. Here, we present GEPIA2, an updated and enhanced version to provide insights with higher resolution and more functionalities. Featuring 198 619 isoforms and 84 cancer subtypes, GEPIA2 has extended gene expression quantification from the gene level to the transcript level, and supports analysis of a specific cancer subtype, and comparison between subtypes. In addition, GEPIA2 has adopted new analysis techniques of gene signature quantification inspired by single-cell sequencing studies, and provides customized analysis where users can upload their own RNA-seq data and compare them with TCGA and GTEx samples. We also offer an API for batch process and easy retrieval of the analysis results. The updated web server is publicly accessible at http://gepia2.cancer-pku.cn/.

Indexed as

Gene Expression ProfilingSoftwareHumansInternetNeoplasmsPrognosisProtein IsoformsRNA-SeqSurvival AnalysisUser-Computer InterfaceProtein Isoforms

Identifiers

PMID31114875
PMCPMC6602440

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.