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Article

Machine learning random forest for predicting oncosomatic variant NGS analysis.

Scientific reports - 8 Nov 2021

Pellegrino Eric, Jacques Coralie, Beaufils Nathalie, Nanni Isabelle, Carlioz Antoine, Metellus Philippe, Ouafik L'Houcine

Abstract excerpt

Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable time, and we are still struggling with some variants that appear correct on the metrics at first, but are found to be negative upon further investigation. Can any machine learning algorithm (ML) help us classify NGS variants? This has led us to investigate which ML...

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Identifiers

PMID: 34750410
DOI: 10.1038/s41598-021-01253-y
PMCID: PMC8575902

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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