ArticleBiomolecules2020
Machine Learning Technology Reveals the Concealed Interactions of Phytohormones on Medicinal Plant In Vitro Organogenesis.
Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 36 citations in OpenAlex.
- ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization.Plant methods · 2026Article
- History, Phylogeny, Biodiversity, and New Computer-Based Tools for Efficient Micropropagation and Conservation of Pistachio (Plants (Basel, Switzerland) · 2023Review
- Establishment of optimized in vitro disinfection protocol of Pistacia vera L. explants mediated a computational approach: multilayer perceptron-multi-objective genetic algorithm.BMC plant biology · 2022Article
- Neurofuzzy logic predicts a fine-tuning metabolic reprogramming on elicitedFrontiers in plant science · 2022Article
- Innovation in the Breeding of Common Bean Through a Combined Approach ofFrontiers in genetics · 2022Article
- The Combination of Untargeted Metabolomics and Machine Learning Predicts the Biosynthesis of Phenolic Compounds inPlants (Basel, Switzerland) · 2021Article
- Advances and Perspectives in Tissue Culture and Genetic Engineering of Cannabis.International journal of molecular sciences · 2021Review
- From Ethnomedicine to Plant Biotechnology and Machine Learning: The Valorization of the Medicinal PlantPharmaceuticals (Basel, Switzerland) · 2020Review
- Induction of Callogenesis, Organogenesis, and Embryogenesis in Non-Meristematic Explants of Bleeding Heart and Evaluation of Chemical Diversity of Key Metabolites from Callus.International journal of molecular sciences · 2020Article
- Exploring the Use ofPlants (Basel, Switzerland) · 2020Article
- Machine Learning Unmasked Nutritional Imbalances on the Medicinal PlantFrontiers in plant science · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Organogenesis constitutes the biological feature driving plant in vitro regeneration, in which the role of plant hormones is crucial. The use of machine learning (ML) technology stands out as a novel approach to characterize the combined role of two phytohormones, the auxin indoleacetic acid (IAA) and the cytokinin 6-benzylaminopurine (BAP), on the in vitro organogenesis of unexploited medicinal plants from the
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Registered trials
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.