Evidence map›Paper›PMID 34978688›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Analysis of Microarray Data from Medulloblastoma Tissue Samples.

Debojyoti Dhar, Gopala Kallapura

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Debojyoti DharLeucine Rich Bio Pvt Ltd., Bengaluru, Karnataka, India. ddhar@leucinerichbio.com.
Gopala KallapuraLeucine Rich Bio Pvt Ltd., Bengaluru, Karnataka, India.
Biocon (India) · INDefence Bioengineering and Electromedical Laboratory · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a laboratory tool, microarray is used to detect the expression of thousands of genes at the same time. Typically, microscope slides have DNA microarrays that are printed with thousands of tiny spots in specified positions. Each spot contains a known DNA sequence or gene. These slides are commonly referred to as gene chips or DNA chips. The DNA molecules printed to each slide serve as probes to detect gene expression, which is also known as the transcriptome or the set of messenger RNA (mRNA) transcripts expressed by a group of genes. The goal of this chapter is to discuss the steps involved computational analysis of data after the completion of a typical microarray experiment.

Indexed as

Cerebellar NeoplasmsMedulloblastomaGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisTranscriptomeAffymatrix arrays [more specific can be—GeneChip® Mouse Gene 2.0 ST Array (Affymetrix)]Gene Set Enrichment Analysis (GSEA)KEGG (Kyoto Encyclopedia of Genes and Genomes)LIMMA (Linear Models for Microarray)MedulloblastomaMicroarraySTRING (Search Tool for Recurring Instances of Neighbouring Genes)

Identifiers

PMID34978688
OpenAlexW4205875696

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.