Evidence map›Paper›PMID 34902125›Full record

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

Supervised Methods for Biomarker Detection from Microarray Experiments.

Angela Serra, Luca Cattelani, Michele Fratello, Vittorio Fortino, Pia Anneli Sofia Kinaret, Dario Greco

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Angela SerraFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Luca CattelaniFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Michele FratelloFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Vittorio FortinoInstitute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Pia Anneli Sofia KinaretFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Dario GrecoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland. dario.greco@tuni.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are valuable indicators of the state of a biological system. Microarray technology has been extensively used to identify biomarkers and build computational predictive models for disease prognosis, drug sensitivity and toxicity evaluations. Activation biomarkers can be used to understand the underlying signaling cascades, mechanisms of action and biological cross talk. Biomarker detection from microarray data requires several considerations both from the biological and computational points of view. In this chapter, we describe the main methodology used in biomarkers discovery and predictive modeling and we address some of the related challenges. Moreover, we discuss biomarker validation and give some insights into multiomics strategies for biomarker detection.

Indexed as

Microarray AnalysisBiomarkersBiomedical ResearchBiomarkersBiological validationBiomarkerClassifierData unbalancingFeature selectionHyperparameter estimationMicroarrayModel selectionMultiomicsValidation metrics

Identifiers

PMID34902125

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.