Feature evaluation of the support vector machine for micro-RNA target site prediction in arabidopsis Thaliana

Medicine & Life Sciences

• Arabidopsis 100%
• Base Pairing 5%
• Binding Sites 7%
• Datasets 4%
• Gene Expression 3%
• Genes 16%
• Genome 3%
• High-Throughput Nucleotide Sequencing 4%
• Long Noncoding RNA 5%
• MicroRNAs 64%
• Nucleotides 4%
• Plant Genes 8%
• RNA 10%
• RNA Interference 4%
• RNA Sequence Analysis 5%
• Sensitivity and Specificity 3%
• Small Interfering RNA 8%
• Support Vector Machine 93%
• Thermodynamics 12%
• Transcriptome 4%