Evidence map›Paper›PMID 22492640›Full record

ArticleBioinformatics (Oxford, England)2012

PaGeFinder: quantitative identification of spatiotemporal pattern genes.

Jian-Bo Pan, Shi-Chang Hu, Hao Wang, Quan Zou, Zhi-Liang Ji

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  18. Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  19. Article
  20. Prediction of GluN2B-CTMolecules (Basel, Switzerland) · 2018
    Article
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.

Jian-Bo PanDepartment of Chemical Biology, College of Chemistry and Chemical Engineering, The Key Laboratory for Chemical Biology of Fujian Province, School of Life Sciences, Xiamen University, Xiamen, Fujian, P R China.
Shi-Chang Hu
Hao Wang
Quan Zou
Zhi-Liang Ji

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledPattern Gene Finder (PaGeFinder) is a web-based server for on-line detection of gene expression patterns from serial transcriptomic data generated by high-throughput technologies like microarray or next-generation sequencing. Three particular parameters, the specificity measure, the dispersion measure and the contribution measure, were introduced and implemented in PaGeFinder to help quantitative and interactive identification of pattern genes like housekeeping genes, specific (selective) genes and repressed genes. Besides the on-line computation service, the PaGeFinder also provides downloadable Java programs for local detection of gene expression patterns. AVAILABILITY: http://bioinf.xmu.edu.cn:8080/PaGeFinder/index.jsp

Indexed as

AnimalsGene Expression ProfilingGenes, EssentialHumansOrgan Specificity

Identifiers

PMID22492640
PMCPMC3356841

What OpenQuestion holds

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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.