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Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.

Scientific reports - 13 Apr 2021

Yu Go-Eun, Shin Younhee, Subramaniyam Sathiyamoorthy, Kang Sang-Ho, Lee Si-Myung, Cho Chuloh, Lee Seung-Sik, Kim Chang-Kug

Abstract excerpt

Bellflower is an edible ornamental gardening plant in Asia. For predicting the flower color in bellflower plants, a transcriptome-wide approach based on machine learning, transcriptome, and genotyping chip analyses was used to identify SNP markers. Six machine learning methods were deployed to explore the classification potential of the selected SNPs as features in two datasets, namely training (60 RNA-Seq...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 33850210
DOI: 10.1038/s41598-021-87281-0
PMCID: PMC8044237

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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