Machine learning-based differential network analysis: A study of stress-responsive transcriptomes in Arabidopsis

Medicine & Life Sciences

• Arabidopsis 100%
• Data Mining 11%
• Datasets 7%
• Gene Expression 5%
• Gene Expression Profiling 9%
• Gene Regulatory Networks 31%
• Genes 23%
• Learning 14%
• Machine Learning 86%
• Mutagenesis 9%
• Phenotype 5%
• Physiological Stress 11%
• Salt Stress 15%
• Salts 8%
• T-DNA 15%
• Transcriptome 70%

Agriculture & Biology

• abiotic stress 8%
• Arabidopsis 56%
• Arabidopsis thaliana 7%
• artificial intelligence 90%
• gene expression 5%
• gene regulatory networks 21%
• genes 23%
• learning 17%
• methodology 10%
• mutagenesis 9%
• mutants 5%
• phenotype 6%
• prediction 19%
• salt stress 8%
• salts 6%
• screening 6%
• transcriptome 67%
• transcriptomics 8%