Evidence map›Paper›PMID 20134430›Full record

ArticleNature protocols2010

Expander: from expression microarrays to networks and functions.

Igor Ulitsky, Adi Maron-Katz, Seagull Shavit, Dorit Sagir, Chaim Linhart, Ran Elkon, Amos Tanay, Roded Sharan, Yosef Shiloh, Ron Shamir

Abstract read
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In one paragraph

Article in Nature protocols, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Trial
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  7. Biclustering data analysis: a comprehensive survey.Briefings in bioinformatics · 2024
    Review
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63 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

10 authors.

Igor UlitskyBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Adi Maron-Katz
Seagull Shavit
Dorit Sagir
Chaim Linhart
Ran Elkon
Amos Tanay
Roded Sharan
Yosef Shiloh
Ron Shamir

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in the analysis of gene expression microarray data is to extract meaningful biological knowledge out of the huge volume of raw data. Expander (EXPression ANalyzer and DisplayER) is an integrated software platform for the analysis of gene expression data, which is freely available for academic use. It is designed to support all the stages of microarray data analysis, from raw data normalization to inference of transcriptional regulatory networks. The microarray analysis described in this protocol starts with importing the data into Expander 5.0 and is followed by normalization and filtering. Then, clustering and network-based analyses are performed. The gene groups identified are tested for enrichment in function (based on Gene Ontology), co-regulation (using transcription factor and microRNA target predictions) or co-location. The results of each analysis step can be visualized in a number of ways. The complete protocol can be executed in approximately 1 h.

Indexed as

Gene Expression RegulationOligonucleotide Array Sequence AnalysisAlgorithmsAnimalsChromosome MappingEscherichia coliGene ExpressionGenetic TechniquesHumansMiceMicroRNAsMultigene FamilyPlantsPromoter Regions, GeneticRatsSaccharomyces cerevisiaeMicroRNAsTranscription Factors

Identifiers

PMID20134430

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.