ArticleHorticulture research2024
Exploring salt tolerance mechanisms using machine learning for transcriptomic insights: case study in
Article in Horticulture research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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.
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Who cites it
10 citing papers in PubMed.
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- A comparative framework for trichome and trichome-derived epidermal appendage development across model glycophytes and halophytes.Plant cell reports · 2026Review
- A review of flavonoids at the crossroads of plant defense: integrating biotic and abiotic stress tolerance through AI- and CRISPR/Cas-guided metabolic reprogramming.Frontiers in plant science · 2026Review
- A GhBGH2-GhGLK1 Regulatory Module Mediates Salt Tolerance in Cotton.Plant biotechnology journal · 2025Article
- Combined effect of salt stress and high light in plants: from basic statistical approach to machine learning methods.BMC plant biology · 2025Article
- Genome-Wide Identification of the CBL-CIPK Gene Family in the Ice Plant and Functional Analysis of Salt Stress Tolerance.Life (Basel, Switzerland) · 2025Article
- Fast-forwarding plant breeding with deep learning-based genomic prediction.Journal of integrative plant biology · 2025Review
- Unveiling Salt Tolerance Mechanisms in Plants: Integrating the KANMB Machine Learning Model With Metabolomic and Transcriptomic Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Characterization and expression analysis of transcription factors inFrontiers in plant science · 2025Article
- Phenylpropanoids metabolism: recent insight into stress tolerance and plant development cues.Frontiers in plant science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Salt stress poses a significant threat to global cereal crop production, emphasizing the need for a comprehensive understanding of salt tolerance mechanisms. Accurate functional annotations of differentially expressed genes are crucial for gaining insights into the salt tolerance mechanism. The challenge of predicting gene functions in under-studied species, especially when excluding infrequent GO terms, persists. Therefore, we proposed the use of NetGO 3.0, a machine learning-based annotation method that does not rely on homology information between species, to predict the functions of differentially expressed genes under salt stress.
Identifiers
What Socratic holds
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 Socratic graph.